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Cambridge Language Sciences

Interdisciplinary Research Centre
 

Professor Anna Korhonen

Research

My research focuses on both core computational linguistics / natural language processing (in the areas of lexicon, syntax, semantics and discourse) and its application to real-world and interdisciplinary tasks (e.g. biomedical text mining, computational neurolinguistics).

Publications (from Symplectic)

Conference proceedings

2024

  • Parović, M., Vulić, I. and Korhonen, A., 2024. Investigating the Potential of Task Arithmetic for Cross-Lingual Transfer EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, v. 2
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  • Hu, S., Vulić, I., Liu, F. and Korhonen, A., 2024. Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings,
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  • Petti, U. and Korhonen, A., 2024. LoSST-AD: A Longitudinal Corpus for Tracking Alzheimer's Disease Related Changes in Spontaneous Speech 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings,
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  • Hu, S., Wang, X., Yuan, Z., Korhonen, A. and Vulić, I., 2024. DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024, v. 3
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    2023

  • Hu, S., Zhou, H., Yuan, Z., Gritta, M., Zhang, G., Iacobacci, I., Korhonen, A. and Vulić, I., 2023. A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings,
    •
  • Vulić, I., Glavaš, G., Liu, F., Collier, N., Ponti, EM. and Korhonen, A., 2023. Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference,
    •
  • Yuan, Z., Hu, S., Vulić, I., Korhonen, A. and Meng, Z., 2023. Can Pretrained Language Models (Yet) Reason Deductively? EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference,
    •
  • Liu, CC., Pfeiffer, J., Korhonen, A., Vulić, I. and Gurevych, I., 2023. Delving Deeper into Cross-lingual Visual Question Answering EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023,
    •
  • Petti, U., Nyrup, R., Skopek, JM. and Korhonen, A., 2023. Ethical considerations in the early detection of Alzheimer's disease using speech and AI ACM International Conference Proceeding Series,
    Doi: http://doi.org/10.1145/3593013.3594063
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  • Parović, M., Ansell, A., Vulić, I. and Korhonen, A., 2023. Cross-Lingual Transfer with Target Language-Ready Task Adapters Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Ansell, A., Ponti, EM., Korhonen, A. and Vulić, I., 2023. Distilling Efficient Language-Specific Models for Cross-Lingual Transfer Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Moghe, N., Razumovskaia, E., Guillou, L., Vulić, I., Korhonen, A. and Birch, A., 2023. MULTI<sup>3</sup>NLU<sup>++</sup>: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Li, Y., Chang, CY., Rawls, S., Vulić, I. and Korhonen, A., 2023. Translation-Enhanced Multilingual Text-to-Image Generation Proceedings of the Annual Meeting of the Association for Computational Linguistics, v. 1
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  • Köksal, A., Yalcin, OF., Akbiyik, A., Kılavuz, MT., Korhonen, A. and Schütze, H., 2023. Language-Agnostic Bias Detection in Language Models with Bias Probing Findings of the Association for Computational Linguistics: EMNLP 2023,
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  • Kantharuban, A., Vulić, I. and Korhonen, A., 2023. Quantifying the Dialect Gap and its Correlates Across Languages Findings of the Association for Computational Linguistics: EMNLP 2023,
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  • Zhou, H., Wan, X., Vulić, I. and Korhonen, A., 2023. Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning Findings of the Association for Computational Linguistics: EMNLP 2023,
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  • Qiu, Y., Ziser, Y., Korhonen, A., Ponti, EM. and Cohen, SB., 2023. Detecting and Mitigating Hallucinations in Multilingual Summarisation EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings,
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  • Li, Y., Korhonen, A. and Vulić, I., 2023. On Bilingual Lexicon Induction with Large Language Models EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings,
    •
  • Razumovskaia, E., Vulić, I. and Korhonen, A., 2023. Transfer-Free Data-Efficient Multilingual Slot Labeling EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings,
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  • Ansell, A., Parović, M., Vulić, I., Korhonen, A. and Ponti, EM., 2023. Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings,
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    2022

  • Razumovskaia, E., Vulić, I. and Korhonen, A., 2022. Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue Proceedings of the Annual Meeting of the Association for Computational Linguistics,
    •
  • Li, Y., Liu, F., Vulić, I. and Korhonen, A., 2022. Improving Bilingual Lexicon Induction with Cross-Encoder Reranking Findings of the Association for Computational Linguistics: EMNLP 2022,
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  • Liu, Q., McCarthy, D. and Korhonen, A., 2022. Measuring Context-Word Biases in Lexical Semantic Datasets Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022,
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  • Parović, M., Glavaš, G., Vulić, I. and Korhonen, A., 2022. BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference,
    •
  • Li, Y., Liu, F., Collier, N., Korhonen, A. and Vulic, I., 2022. Improving Word Translation via Two-Stage Contrastive Learning Proceedings of the Annual Meeting of the Association for Computational Linguistics, v. 1
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  • Ansell, A., Ponti, EM., Korhonen, A. and Vulic, I., 2022. Composable Sparse Fine-Tuning for Cross-Lingual Transfer Proceedings of the Annual Meeting of the Association for Computational Linguistics, v. 1
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    2021

  • Majewska, O., Vulic, I., Glavaš, G., Ponti, EM. and Korhonen, A., 2021. Verb knowledge injection for multilingual event processing ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Vulic, I., Ponti, EM., Korhonen, A. and Glavaš, G., 2021. LEXFIT: Lexical fine-tuning of pretrained language models ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Zhao, M., Zhu, Y., Shareghi, E., Vulic, I., Reichart, R., Korhonen, A. and Schütze, H., 2021. A closer look at few-shot crosslingual transfer: The choice of shots matters ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Liu, F., Vulić, I., Korhonen, A. and Collier, N., 2021. Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, v. 2
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  • Hangya, V., Liu, Q., Stojanovski, D., Fraser, A. and Korhonen, A., 2021. Improving Machine Translation of Rare and Unseen Word Senses WMT 2021 - 6th Conference on Machine Translation, Proceedings,
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  • Liu, F., Vulić, I., Korhonen, A. and Collier, N., 2021. Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings,
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  • Liu, Q., Ponti, EM., McCarthy, D., Vulić, I. and Korhonen, A., 2021. AM<sup>2</sup>ICO: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings,
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  • Liu, Q., Liu, F., Collier, N., Korhonen, A. and Vulić, I., 2021. MIRRORWIC: On Eliciting Word-in-Context Representations from Pretrained Language Models CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings,
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  • Ansell, A., Ponti, EM., Pfeiffer, J., Ruder, S., Glavaš, G., Vulic, I. and Korhonen, A., 2021. MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021,
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  • Zhu, Y., Shareghi, E., Li, Y., Reichart, R. and Korhonen, A., 2021. Combining deep generative models and multi-lingual pretraining for semi-supervised document classification EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference,
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    2020 (Accepted for publication)

  • Vulic, I., Ponti, E., Litschko, R., Glavas, G. and Korhonen, A., 2020 (Accepted for publication). Probing Pretrained Language Models for Lexical Semantics Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020),
    Doi: http://doi.org/10.18653/v1/2020.emnlp-main.586
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    2020

  • Dubossarsky, H., Vulic, I., Reichart, R. and Korhonen, A., 2020. The Secret is in the Spectra: Predicting Cross-Lingual Task Performance with Spectral Similarity Measures Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020),
    Doi: http://doi.org/10.18653/v1/2020.emnlp-main.186
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  • Gerz, D., Vulić, I., Rei, M., Reichart, R. and Korhonen, A., 2020. Multidirectional associative optimization of function-specific word representations Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Ponti, E., Glavaš, G., Majewska, O., Liu, Q., Vulic, I. and Korhonen, A., 2020. XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020),
    Doi: http://doi.org/10.18653/v1/2020.emnlp-main.185
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  • Sasano, R. and Korhonen, A., 2020. Investigating word-class distributions in word vector spaces Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Vulić, I., Korhonen, A. and Glavaš, G., 2020. Improving bilingual lexicon induction with unsupervised post-processing of monolingual word vector spaces Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Karan, M., Vulić, I., Korhonen, A. and Glavaš, G., 2020. Classification-based self-learning for weakly supervised bilingual lexicon induction Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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  • Majewska, O., Vulic, I., McCarthy, D. and Korhonen, A., 2020. Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020),
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  • Li, Y., Ponti, E., Vulic, I. and Korhonen, A., 2020. Emergent Communication Pretraining for Few-Shot Machine Translation Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020),
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  • Liu, Q., McCarthy, D. and Korhonen, A., 2020. Towards better context-aware lexical semantics: Adjusting contextualized representations through static anchors EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
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  • Lauscher, A., Vulic, I., Ponti, E., Korhonen, A. and Glavas, G., 2020. Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020),
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  • Glavas, G., Vulic, I., Korhonen, A. and Ponzetto, SP., 2020. SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020),
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  • Korhonen, A. and Traum, D., 2020. Message from the program chairs ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference,
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  • Korhonen, A. and Traum, D., 2020. Message from the program chairs ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference,
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  • Majewska, O., McCarthy, D., van den Bosch, J., Kriegeskorte, N., Vulic, I. and Korhonen, A., 2020. Spatial multi-arrangement for clustering and multi-way similarity dataset construction LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings,
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    2019 (Accepted for publication)

  • Shareghi, E., Gerz, D., Vulic, I. and Korhonen, A., 2019 (Accepted for publication). Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines
    Doi: http://doi.org/10.17863/CAM.39778
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    2019

  • Liu, Q., McCarthy, D., Vulić, I. and Korhonen, A., 2019. Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference,
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  • Ponti, EM., Vulić, I., Cotterell, R., Reichart, R. and Korhonen, A., 2019. Towards zero-shot language modeling EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Ponti, EM., Vulić, I., Glavaš, G., Reichart, R. and Korhonen, A., 2019. Cross-lingual semantic specialization via lexical relation induction EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Vulić, I., Glavaš, G., Reichart, R. and Korhonen, A., 2019. Do we really need fully unsupervised cross-lingual embeddings? EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Zhu, Y., Heinzerling, B., Vulić, I., Strube, M., Reichart, R. and Korhonen, A., 2019. On the importance of subword information for morphological tasks in truly low-resource languages CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference,
    •
  • Tseng, BH., Rei, M., Budzianowski, P., Turner, RE., Byrne, B. and Korhonen, A., 2019. Semi-supervised bootstrapping of dialogue state trackers for task-oriented modelling EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
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  • Liu, Q., McCarthy, D. and Korhonen, A., 2019. Second-order contexts from lexical substitutes for few-shot learning of word representations *SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics,
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  • Shareghi, E., Li, Y., Zhu, Y., Reichart, R. and Korhonen, A., 2019. Bayesian learning for neural dependency parsing NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, v. 1
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  • Chiu, B., Baker, S., Palmer, M. and Korhonen, A., 2019. Enhancing biomedical word embeddings by retrofitting to verb clusters BioNLP 2019 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 18th BioNLP Workshop and Shared Task,
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  • Zhu, Y., Vulić, I. and Korhonen, A., 2019. A systematic study of leveraging subword information for learning word representations NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, v. 1
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  • Shareghi, E., Gerz, D., Vulić, I. and Korhonen, A., 2019. Show some love to your n-grams: A bit of progress and stronger n-gram language modeling baselines NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, v. 1
    •
  • Majewska, O., McCarthy, D., Vulić, I. and Korhonen, A., 2019. Acquiring verb classes through bottom-up semantic verb clustering LREC 2018 - 11th International Conference on Language Resources and Evaluation,
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    2018

  • Ponti, EM., Vulić, I., Glavaš, G., Mrkšić, N. and Korhonen, A., 2018. Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018,
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  • Gerz, D., Vulić, I., Ponti, EM., Reichart, R. and Korhonen, A., 2018. On the relation between linguistic typology and (limitations of) multilingual language modeling Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018,
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  • Vulic, I., Glavaš, G., Mrkšić, N. and Korhonen, A., 2018. Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
  • Ponti, E., Reichart, R., Korhonen, A. and Vulic, I., 2018. Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018),
    Doi: http://doi.org/10.18653/v1/P18-1142
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  • Vulić, I. and Korhonen, A., 2018. Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation Proceedings of the Annual Meeting of the Association for Computational Linguistics,
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    2017 (No publication date)

  • Baker, S., Korhonen, A. and Pyysalo, S., 2017 (No publication date). Cancer Hallmark Text Classification Using Convolutional Neural Networks
    Doi: http://doi.org/10.17863/CAM.12420
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    2017

  • Vulić, I., Mrkšić, N. and Korhonen, A., 2017. Cross-lingual induction and transfer of verb classes based on word vector space specialisation EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings,
    Doi: http://doi.org/10.18653/v1/d17-1270
    •
  • Vulić, I., Schwartz, R., Rappoport, A., Reichart, R. and Korhonen, A., 2017. Automatic Selection of Context Configurations for Improved Class-Specific Word Representations Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017),
    Doi: http://doi.org/10.18653/v1/K17-1013
    •
  • Vulić, I., Kiela, D. and Korhonen, A., 2017. Evaluation by association: A systematic study of quantitative word association evaluation 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference, v. 1
    Doi: http://doi.org/10.18653/v1/e17-1016
    •
  • Ponti, EM. and Korhonen, A., 2017. Event-Related Features in Feedforward Neural Networks Contribute to Identifying Causal Relations in Discourse LSDSem 2017 - 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, Proceedings of the Workshop,
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  • Vulic, I., Mrkšic, N., Reichart, R., Séaghdha, D., Young, S. and Korhonen, A., 2017. Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 1
    Doi: http://doi.org/10.18653/v1/P17-1006
    •
  • Ponti, EM., Vulić, I. and Korhonen, A., 2017. Decoding sentiment from distributed representations of sentences *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings,
    Doi: http://doi.org/10.18653/v1/s17-1003
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  • Baker, S. and Korhonen, A., 2017. Initializing neural networks for hierarchical multi-label text classification BioNLP 2017 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 16th BioNLP Workshop,
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    2016

  • 2016. Learning distributed representations of sentences from unlabelled data 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference,
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  • Hill, F., Cho, K. and Korhonen, A., 2016. Learning distributed representations of sentences from unlabelled data 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference,
    Doi: http://doi.org/10.18653/v1/n16-1162
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  • O'Horan, H., Berzak, Y., Vulić, I., Reichart, R. and Korhonen, A., 2016. Survey on the use of typological information in natural language processing COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
    •
  • Baker, S., Kiela, D. and Korhonen, A., 2016. Robust text classification for sparsely labelled data using multi-level embeddings COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
    •
  • Gerz, D., Vulic, I., Hill, F., Reichart, R. and Korhonen, A., 2016. Simverb-3500: A large-scale evaluation set of verb similarity EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings,
    Doi: http://doi.org/10.18653/v1/d16-1235
    •
  • Berzak, Y., Huang, Y., Barbu, A., Korhonen, A. and Katz, B., 2016. Anchoring and agreement in syntactic annotations EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings,
    Doi: http://doi.org/10.18653/v1/d16-1239
    •
  • Vulić, I. and Korhonen, A., 2016. Is "universal syntax" universally useful for learning distributed word representations? 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers,
    Doi: http://doi.org/10.18653/v1/p16-2084
    •
  • Vulíc, I. and Korhonen, A., 2016. On the role of seed lexicons in learning bilingual word embeddings 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 1
    Doi: http://doi.org/10.18653/v1/p16-1024
    •
  • Chiu, B., Korhonen, A. and Pyysalo, S., 2016. Intrinsic evaluation ofword vectors fails to predict extrinsic performance Proceedings of the Annual Meeting of the Association for Computational Linguistics,
    •
  • Chiu, B., Crichton, G., Korhonen, A. and Pyysalo, S., 2016. How to train goodword embeddings for biomedical nlp BioNLP 2016 - Proceedings of the 15th Workshop on Biomedical Natural Language Processing,
    •

    2015

  • Karlgren, J., Callin, J., Collins-Thompson, K., Gyllensten, AC., Ekgren, A., Jurgens, D., Korhonen, A., Olsson, F., Sahlgren, M. and Schütze, H., 2015. Evaluating learning language representations Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9283
    Doi: http://doi.org/10.1007/978-3-319-24027-5_25
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  • Korhonen, A., Guo, Y., Baker, S., Yetisgen-Yildiz, M., Stenius, U., Narita, M. and Liò, P., 2015. Improving literature-based discovery with advanced text mining Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8623
    Doi: http://doi.org/10.1007/978-3-319-24462-4_8
    •
  • Geertzen, J., Alexopoulou, T., Post, B. and Korhonen, A., 2015. Native language effects on pronunciation accuracy L2 English International Symposium on Monolingual and Bilingual Speech (ISMBS),
    •
  • Alexopoulou, T., Geertzen, J., Meurers, D. and Korhonen, A., 2015. Relativisors and animacy in L2 English Second Language Research Forum (SLRF) 2015,
    •

    2014

  • Guo, Y., Séaghdha, D., Silins, I., Sun, L., Högberg, J., Stenius, U. and Korhonen, A., 2014. CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of the Conference System Demonstrations,
    •
  • Jiang, X., Guo, Y., Geertzen, J., Alexopoulou, D., Sun, L. and Korhonen, A., 2014. Native Language Identification using large, longitudinal data Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014,
    •
  • Hill, F. and Korhonen, A., 2014. Concreteness and subjectivity as dimensions of lexical meaning 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference, v. 2
    Doi: http://doi.org/10.3115/v1/p14-2118
    •
  • Scarton, C., Sun, L., Kipper-Schuler, K., Duran, MS., Palmer, M. and Korhonen, A., 2014. Verb clustering for Brazilian Portuguese Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8403 LNCS
    Doi: http://doi.org/10.1007/978-3-642-54906-9_3
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  • Hill, F. and Korhonen, A., 2014. Learning abstract concept embeddings from multi-modal data: Since you probably can't see what I mean EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    Doi: http://doi.org/10.3115/v1/d14-1032
    •
  • Baker, S., Reichart, R. and Korhonen, A., 2014. An unsupervised model for instance level subcategorization acquisition EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    •
  • Scarton, C., Sun, L., Kipper-Schuler, K., Duran, MS., Palmer, M. and Korhonen, A., 2014. Verb clustering for Brazilian Portuguese Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8403 LNCS
    Doi: http://doi.org/10.1007/978-3-642-54906-9-3
    •
  • Silins, I., Korhonen, A., Guo, Y. and Stenius, U., 2014. A text-mining approach for chemical risk assessment and cancer research TOXICOLOGY LETTERS, v. 229
    Doi: http://doi.org/10.1016/j.toxlet.2014.06.565
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  • Larsson, K., Silins, I., Guo, Y., Korhonen, A., Stenius, U. and Berglund, M., 2014. Text mining for improved human exposure assessment TOXICOLOGY LETTERS, v. 229
    Doi: http://doi.org/10.1016/j.toxlet.2014.06.427
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    2013 (No publication date)

  • Geertzen, J., Alexopoulou, T. and Korhonen, A., 2013 (No publication date). Automatic linguistic annotation of large scale L2 databases: the EF-Cambridge Open Language Database Selected papers from the Second Language Research Forum,
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  • Korhonen, A., Guo, Y. and Reichart, R., 2013 (No publication date). Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints
  • Korhonen, A. and O'Seaghdha, D., 2013 (No publication date). Probabilistic models of similarity in syntactic context EMNLP 2011,
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    2013

  • Sun, L., McCarthy, D. and Korhonen, A., 2013. Diathesis alternation approximation for verb clustering ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, v. 2
    •
  • Hill, F., Kiela, D. and Korhonen, A., 2013. Concreteness and Corpora: A Theoretical and Practical Analysis CMCL 2013 - Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop,
    •
  • Baldwin, T. and Korhonen, A., 2013. Preface EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    •
  • Hill, F., Korhonen, A. and Bentz, C., 2013. Large-scale empirical analyses of concreteness Proceedings of the Annual Meeting of the Cognitive Science Society,
    •
  • Kelly, C., Korhonen, A. and Devereux, B., 2013. Minimally Supervised Learning for Unconstrained Conceptual Property Extraction Cooperative Minds: Social Interaction and Group Dynamics - Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013,
    •
  • Guo, Y., Reichart, R. and Korhonen, A., 2013. Improved Information Structure Analysis of Scientific Documents through Discourse and Lexical Constraints Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013,
    •
  • van de Cruys, T., Poibeau, T. and Korhonen, A., 2013. A Tensor-based Factorization Model of Semantic Compositionality Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013,
    •
  • Korhonen, A. and Reichart, R., 2013. Improved Lexical Acquisition through DPP-based Verb Clustering Association for Computational Linguistics,
    •
  • Korhonen, A., Van de Cruys, T. and Poibeau, T., 2013. A Tensor-based Factorization Model of Semantic Compositionality http://aclweb.org/anthology/N/N13/N13-1.pdf,
    •
  • Hill, F., Korhonen, A. and Bentz, C., 2013. Large-Scale Empirical Analyses of the Abstract/Concrete Distinction Cooperative Minds: Social Interaction and Group Dynamics - Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013,
    •

    2012 (No publication date)

  • Rimell, L., Poibeau, T. and Korhonen, A., 2012 (No publication date). Merging Lexicons for Higher Precision Subcategorization Frame Acquisition Proceedings of the LREC 2012 Workshop on Language Resource Merging,
    •

    2012

  • Kadekar, S., Silins, I., Korhonen, A., Dreij, K., Al-Anati, L., Hogberg, J. and Stenius, U., 2012. Exocrine pancreatic tumorigenesis and autotaxin expression TOXICOLOGY LETTERS, v. 211
    Doi: http://doi.org/10.1016/j.toxlet.2012.03.216
    •
  • Silins, I., Korhonen, A., Sun, L., Hogberg, J. and Stenius, U., 2012. A text mining approach for chemical cancer research and risk assessment TOXICOLOGY LETTERS, v. 211
    Doi: http://doi.org/10.1016/j.toxlet.2012.03.458
    •
  • Korhonen, A. and Reichart, R., 2012. Document and Corpus Level Inference For Unsupervised Learning of Information Structure of Scientific Documents Proceedings of the 24th International Conference on Computational Linguistics (COLING),
    •
  • Shutova, E., van de Cruys, T. and Korhonen, A., 2012. Unsupervised Metaphor Paraphrasing Using a Vector Space Model Proceedings of the 24th International Conference on Computational Linguistics (COLING),
    •
  • Guo, Y., Silins, I., Korhonen, A. and Reichart, R., 2012. CRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones in Scientific Literature Proceedings of the 24th International Conference on Computational Linguistics (COLING),
    •
  • Séaghdha, D. and Korhonen, A., 2012. Modelling selectional preferences in a lexical hierarchy *SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics, v. 1
    •
  • Kelly, C., Devereux, B. and Korhonen, A., 2012. Semi-supervised learning for automatic conceptual property extraction Proceedings of the Annual Meeting of the Association for Computational Linguistics, v. 2012-June
    •
  • Abend, O., Biemann, C., Korhonen, A., Rappoport, A., Sogaard, A. and Reichart, R., 2012. Proceedings of the EACL Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP
  • Berwick, R., Korhonen, A., Villavicencio, A. and Poibeau, T., 2012. Proceedings of the EACL Workshop on Computational Models of Language Acquisition and Loss
  • Alexopoulou, T., Geertzen, J., Meurers, D. and Korhonen, A., 2012. L1 effects in L2 English relative clauses: evidence from corpus production Abstracts of the 22nd Annual Conference of the European Second Language Association (EUROSLA-22),
    •

    2011

  • Abend, O., Korhonen, A., Reichart, R. and Rappoport, A., 2011. Proceedings of the EMNLP Workshop on Unsupervised Learning in NLP
  • Devereux, B., Tyler, L. and Korhonen, A., 2011. Parsing sentences are unlikely: corpus-based analyses of the neural processing of verbs International Conference on Cognitive Neuroscience (ICON),
    •
  • Abend, O., Korhonen, A., Rappoport, A. and Reichart, R., 2011. Introduction Workshop on Unsupervised Learning in NLP at the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011 - Proceedings,
    •
  • Zhuang, J., Devereux, B., Tyler, L. and Korhonen, A., 2011. Lexical and syntactic competition effects in verb processing: evidence from corpus-based statistics International Conference on Cognitive Neuroscience (ICON),
    •

    2010

  • Moore, S., Buchholz, S. and Korhonen, A., 2010. Annotating the enron email corpus with number senses Proceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010,
    •
  • Devereux, B., Pilkington, N., Poibeau, T. and Korhonen, A., 2010. Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora COGNITION IN FLUX,
    •
  • Guo, Y., Silins, I., Korhonen, A., Sun, L., Liakata, M. and Stenius, U., 2010. Identifying the information structure of scientific abstracts: An investigation of three different schemes Proceedings of the Annual Meeting of the Association for Computational Linguistics,
    •
  • Kadekar, S., Silins, I., Korhonen, A., Hogberg, J., Dreij, K. and Stenius, U., 2010. Carcinogen-induced inflammation and pancreatic cancer Proceedings of the 101th Annual Meeting of the American Association for Cancer Research,
    •
  • Kelly, C., Korhonen, A. and Devereux, B., 2010. Acquiring Human-like Feature-Based Conceptual Representations from Corpora Proceedings of the NAACL-HLT Workshop on Computational Neurolinguistics,
    •
  • Devereux, B., Korhonen, A. and Kelly, C., 2010. Using fMRI Activation to Conceptual Stimuli to Evaluate Methods for Extracting Conceptual Representations from Corpora Proceedings of the NAACL-HLT Workshop on Computational Neurolinguistics,
    •
  • Murphy, B., Korhonen, A. and Chang, K-MK., 2010. Proceedings of the NAACL-HLT Workshop on Computational Neurolinguistics
  • Devereux, B., Kelly, C., Pilkington, N., Korhonen, A. and Poibeau, T., 2010. The Acquisition of Unconstrained Feature-Based Conceptual Representations from Corpora The Rovereto Workshop on Concepts, Actions, and Objects: Functional and Neural Perspectives,
    •

    2009

  • Schuler, KK., Korhonen, A. and Brown, S., 2009. VerbNet overview, extensions, mappings and applications NAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Tutorial Abstracts,
    •
  • Vlachos, A., Korhonen, A. and Ghahramani, Z., 2009. Unsupervised and constrained dirichlet process mixture models for verb clustering.
  • Moore, S., Buchholz, S. and Korhonen, A., 2009. Number Sense Disambiguation Proceedings of the 12th Conference of the Pacific Association for Computational Linguistics,
    •
  • Sun, L., Korhonen, A., Silins, I. and Stenius, U., 2009. User-Driven Development of Text Mining Resources for Cancer Risk Assessment Proceedings ...,
    •
  • Kipper-Schuler, K., Korhonen, A. and Brown, S., 2009. Proceedings of the NAACL 2009 Tutorial on VerbNet and Its Applications North American Chapter of the Association for Computational Linguistics - Human Language Technologies NAACL HLT,
    •

    2008

  • Messiant, C., Korhonen, A. and Poibeau, T., 2008. LexSchem: A large subcategorization lexicon for French verbs Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008,
    •
  • Sun, L., Korhonen, A. and Krymolowski, Y., 2008. Automatic classification of English verbs using rich syntactic features IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference, v. 2
    •
  • Sun, L., Korhonen, A. and Krymolowski, Y., 2008. Verb class discovery from rich syntactic data COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, v. 4919
    •
  • Vlachos, A., Ghahramani, Z. and Korhonen, A., 2008. Dirichlet process mixture models for verb clustering
  • Lewin, I., Silins, I., Korhonen, A., Hogberg, J. and Stenius, U., 2008. A New Challenge for Text Mining: Cancer Risk Assessment Proceedings of the ISMB BioLINK Special Interest Group on Text Data Mining,
    •
  • Korhonen, A., Lewin, I., Silins, I., Hogberg, J. and Stenius, U., 2008. CRAB - Cancer Risk Assessment and Biomedical Text Mining Proceedings of the European Conference on Computational Biology,
    •

    2007

  • Buttery, P. and and Anna Korhonen, AV., 2007. The proceedings of the ACL 2007 Workshop on Cognitive Aspects of Computational Language Acquisition
  • Preiss, J., Briscoe, T. and Korhonen, A., 2007. A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora. ACL,
    •
  • Buttery, P. and Korhonen, A., 2007. I will shoot your shopping down and you can shoot all my tins: automatic lexical acquisition from the CHILDES database Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition,
    •

    2006

  • Kipper, K., Korhonen, A., Ryant, N. and Palmer, M., 2006. A Large-Scale Extension of VerbNet with Novel Verb Classes Proceedings of EURALEX,
    •
  • Korhonen, A., Krymolowski, Y. and Briscoe, T., 2006. A large subcategorization lexicon for natural language processing applications Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006,
    •
  • Kipper, K., Korhonen, A., Ryant, N. and Palmer, M., 2006. Extending VerbNet with novel verb classes Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006,
    •
  • Korhonen, A., Krymolowski, Y. and Collier, N., 2006. Automatic Classification of Verbs in Biomedical Texts COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE,
    •

    2005

  • Baldwin, T., Villavicencio, A. and Korhonen, A., 2005. Proceedings of the ACL-SIGLEX 2005 Workshop on Deep Lexical Acquisition
  • Yallop, J., Korhonen, A. and Briscoe, T., 2005. Automatic Acquisition of Adjectival Subcategorization from Corpora. ACL,
    •

    2004

  • Preiss, J. and Korhonen, A., 2004. WSD for subcategorization acquisition task description Proceedings of the SENSEVAL@ACL 2004: 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text - Held in cooperation with ACL 2004,
    •
  • Tanaka, T., Villavicencio, A., Korhonen, A. and Bond, F., 2004. Proceedings of the ACL-SIGLEX 2004 Workshop on Multiword Expressions: Integrating Processing
  • Briscoe, T. and Korhonen, A., 2004. Extended Lexical-Semantic Classification of English Verbs Proceedings of the HLT/NAACL Workshop on Computational Lexical Semantics,
    •

    2003

  • Korhonen, A., Krymolowski, Y. and Marx, Z., 2003. Clustering polysemic subcategorization frame distributions semantically 41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE,
    •
  • Korhonen, A. and Preiss, J., 2003. Improving subcategorization acquisition using word sense disambiguation 41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE,
    •

    2002

  • Korhonen, A. and Krymolowski, Y., 2002. On the Robustness of Entropy-Based Similarity Measures in Evaluation of Subcategorization Acquisition Systems Proceedings of the Annual Meeting of the Association for Computational Linguistics,
    •
  • Preiss, J., Korhonen, A. and Briscoe, T., 2002. Subcategorization Acquisition as an Evaluation Method for WSD. LREC,
    •

    2000

  • Korhonen, A., Gorrell, G. and McCarthy, D., 2000. Statistical filtering and subcategorization frame acquisition PROCEEDINGS OF THE 2000 JOINT SIGDAT CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND VERY LARGE CORPORA,
    •
  • Korhonen, A., 2000. Using semantically motivated estimates to help subcategorization acquisition PROCEEDINGS OF THE 2000 JOINT SIGDAT CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND VERY LARGE CORPORA,
    •

    1998

  • McCarthy, D. and Korhonen, A., 1998. Detecting verbal participation in diathesis alternations Proceedings of the Annual Meeting of the Association for Computational Linguistics, v. 2
    •
    Journal articles

    2024

  • Zhou, H., Wan, X., Vulić, I. and Korhonen, A., 2024. AUTOPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning Transactions of the Association for Computational Linguistics, v. 12
    Doi: http://doi.org/10.1162/tacl_a_00662
    •

    2023 (Accepted for publication)

  • Breger, A., Selby, I., Roberts, M., Babar, J., Gkrania-Klotsas, E., Preller, J., Escudero Sanchez, L., Rudd, J., Aston, J., Weir-McCall, J., Sala, E. and Schoenlieb, C., 2023 (Accepted for publication). A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data Scientific data,
    Doi: 10.1038/s41597-023-02340-7
    •
  • Collins, C., Baker, S., Brown, J., Zeng, H., Chan, A., Stenius, U., Narita, M. and Korhonen, A., 2023 (Accepted for publication). Text Mining for Contexts and Relationships in Cancer Genomics Literature Bioinformatics,
    Doi: http://doi.org/10.1093/bioinformatics/btae021
    •

    2023

  • Petti, U., Baker, S., Korhonen, A. and Robin, J., 2023. The Generalizability of Longitudinal Changes in Speech Before Alzheimer's Disease Diagnosis. J Alzheimers Dis, v. 92
    Doi: http://doi.org/10.3233/JAD-220847
    •
  • Petti, U., Baker, S., Korhonen, A. and Robin, J., 2023. The Generalizability of Longitudinal Changes in Speech Before Alzheimer's Disease Diagnosis. J Alzheimers Dis, v. 92
    Doi: http://doi.org/10.3233/JAD-220847
    •
  • Dittmer, S., Roberts, M., Gilbey, J., Biguri, A., Selby, I., Breger, A., Thorpe, M., Weir-McCall, JR., Gkrania-Klotsas, E., Korhonen, A., Jefferson, E., Langs, G., Yang, G., Prosch, H., Stanczuk, J., Tang, J., Babar, J., Escudero Sánchez, L., Teare, P., Patel, M., Wassin, M., Holzer, M., Walton, N., Lió, P., Shadbahr, T., Sala, E., Preller, J., Rudd, JHF., Aston, JAD. and Schönlieb, CB., 2023. Navigating the development challenges in creating complex data systems Nature Machine Intelligence, v. 5
    Doi: 10.1038/s42256-023-00665-x
    •
  • Schellaert, W., Martínez-Plumed, F., Vold, K., Burden, J., Casares, PAM., Loe, BS., Reichart, R., Héigeartaigh, S., Korhonen, A. and Hernández-Orallo, J., 2023. Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models Journal of Artificial Intelligence Research, v. 77
    Doi: http://doi.org/10.1613/jair.1.14157
    •
  • Hu, S., Zhou, H., Hergul, M., Gritta, M., Zhang, G., Iacobacci, I., Vulić, I. and Korhonen, A., 2023. MULTI<sup>3</sup>WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems Transactions of the Association for Computational Linguistics, v. 11
    Doi: http://doi.org/10.1162/tacl_a_00609
    •
  • Petti, U., Baker, S., Korhonen, A. and Robin, J., 2023. How Much Speech Data Is Needed for Tracking Language Change in Alzheimer's Disease? A Comparison of Random Length, 5-Min, and 1-Min Spontaneous Speech Samples. Digit Biomark, v. 7
    Doi: http://doi.org/10.1159/000533423
    •
  • Majewska, O., Razumovskaia, E., Ponti, EM., Vulić, I. and Korhonen, A., 2023. Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation Transactions of the Association for Computational Linguistics, v. 11
    Doi: http://doi.org/10.1162/tacl_a_00539
    •
  • Majewska, O. and Korhonen, A., 2023. Verb Classification Across Languages Annual Review of Linguistics, v. 9
    Doi: http://doi.org/10.1146/annurev-linguistics-030521-043632
    •

    2022

  • Majewska, O., Razumovskaia, E., Ponti, EM., Vulić, I. and Korhonen, A., 2022. Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation
  • Razumovskaia, E., Glavaš, G., Majewska, O., Ponti, EM., Korhonen, A. and Vulic, I., 2022. Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems Journal of Artificial Intelligence Research, v. 74
    Doi: http://doi.org/10.1613/JAIR.1.13083
    •

    2021

  • Huang, Y., Murakami, A., Alexopoulou, T. and Korhonen, A., 2021. Subcategorization frame identification for learner English International Journal of Corpus Linguistics, v. 26
    Doi: http://doi.org/10.1075/ijcl.18097.hua
    •
  • Su, Y., Wang, Y., Cai, D., Baker, S., Korhonen, A. and Collier, N., 2021. PROTOTYPE-TO-STYLE: Dialogue Generation with Style-Aware Editing on Retrieval Memory IEEE/ACM Transactions on Audio Speech and Language Processing, v. 29
    Doi: http://doi.org/10.1109/TASLP.2021.3087948
    •
  • Ponti, EM., Vulić, I., Cotterell, R., Parović, M., Reichart, R. and Korhonen, A., 2021. Parameter space factorization for zero-shot learning across tasks and languages Transactions of the Association for Computational Linguistics, v. 9
    Doi: http://doi.org/10.1162/tacl_a_00374
    •
  • Majewska, O., McCarthy, D., van den Bosch, JJF., Kriegeskorte, N., Vulić, I. and Korhonen, A., 2021. Semantic data set construction from human clustering and spatial arrangement Computational Linguistics, v. 47
    Doi: http://doi.org/10.1162/COLI_a_00396
    •
  • Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, AI., Etmann, C., McCague, C., Beer, L., Weir-McCall, JR., Teng, Z., Gkrania-Klotsas, E., Ruggiero, A., Korhonen, A., Jefferson, E., Ako, E., Langs, G., Gozaliasl, G., Yang, G., Prosch, H., Preller, J., Stanczuk, J., Tang, J., Hofmanninger, J., Babar, J., Sánchez, LE., Thillai, M., Gonzalez, PM., Teare, P., Zhu, X., Patel, M., Cafolla, C., Azadbakht, H., Jacob, J., Lowe, J., Zhang, K., Bradley, K., Wassin, M., Holzer, M., Ji, K., Ortet, MD., Ai, T., Walton, N., Lio, P., Stranks, S., Shadbahr, T., Lin, W., Zha, Y., Niu, Z., Rudd, JHF., Sala, E. and Schönlieb, CB., 2021. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Nature Machine Intelligence, v. 3
    Doi: http://doi.org/10.1038/s42256-021-00307-0
    •
  • Ali, I., Dreij, K., Baker, S., Högberg, J., Korhonen, A. and Stenius, U., 2021. Application of Text Mining in Risk Assessment of Chemical Mixtures: A Case Study of Polycyclic Aromatic Hydrocarbons (PAHs). Environ Health Perspect, v. 129
    Doi: http://doi.org/10.1289/EHP6702
    •
  • Majewska, O., Collins, C., Baker, S., Björne, J., Brown, SW., Korhonen, A. and Palmer, M., 2021. BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. J Biomed Semantics, v. 12
    Doi: http://doi.org/10.1186/s13326-021-00247-z
    •

    2020 (Accepted for publication)

  • Vulic, I., Baker, S., Ponti, E., Petti, U., Leviant, I., Wing, K., Majewska, O., Bar, E., Malone, M., Poibeau, T., Reichart, R. and Korhonen, A., 2020 (Accepted for publication). Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity Computational Linguistics,
    Doi: http://doi.org/10.1162/coli_a_00391
    •

    2020

  • Crichton, G., Baker, S., Guo, Y. and Korhonen, A., 2020. Neural networks for open and closed Literature-based Discovery. PLoS One, v. 15
    Doi: http://doi.org/10.1371/journal.pone.0232891
    •
  • Petti, U., Baker, S. and Korhonen, A., 2020. A systematic literature review of automatic Alzheimer's disease detection from speech and language. J Am Med Inform Assoc, v. 27
    Doi: http://doi.org/10.1093/jamia/ocaa174
    •

    2019

  • Pyysalo, S., Baker, S., Ali, I., Haselwimmer, S., Shah, T., Young, A., Guo, Y., Högberg, J., Stenius, U., Narita, M. and Korhonen, A., 2019. LION LBD: a literature-based discovery system for cancer biology. Bioinformatics, v. 35
    Doi: http://doi.org/10.1093/bioinformatics/bty845
    •
  • Ponti, EM., O'Horan, H., Berzak, Y., Vulic, I., Reichart, R., Poibeau, T., Shutova, E. and Korhonen, A., 2019. Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing COMPUTATIONAL LINGUISTICS, v. 45
    Doi: http://doi.org/10.1162/coli_a_00357
    •

    2018 (Accepted for publication)

  • Chiu, HW., Majewska, O., Pyysalo, S., Wey, L., Stenius, U., Korhonen, AL. and Palmer, M., 2018 (Accepted for publication). A Neural Classification Method for Supporting the Creation of BioVerbNet Journal of Biomedical Semantics, v. 10
    Doi: http://doi.org/10.1186/s13326-018-0193-x
    •
  • Huang, Y., Murakami, A., Alexopoulou, T. and Korhonen, A., 2018 (Accepted for publication). Dependency parsing of learner English International Journal of Corpus Linguistics, v. 23
    Doi: http://doi.org/10.1075/ijcl.16080.hua
    •

    2018

  • Majewska, O., Vulić, I., McCarthy, D., Huang, Y., Murakami, A., Laippala, V. and Korhonen, A., 2018. Investigating the cross-lingual translatability of VerbNet-style classification. Lang Resour Eval, v. 52
    Doi: http://doi.org/10.1007/s10579-017-9403-x
    •
  • Chiu, B., Pyysalo, S., Vulić, I. and Korhonen, A., 2018. Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine. BMC Bioinformatics, v. 19
    Doi: http://doi.org/10.1186/s12859-018-2039-z
    •
  • Crichton, G., Guo, Y., Pyysalo, S. and Korhonen, A., 2018. Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches. BMC Bioinformatics, v. 19
    Doi: http://doi.org/10.1186/s12859-018-2163-9
    •
  • Gerz, D., Vulić, I., Ponti, E., Naradowsky, J., Reichart, R. and Korhonen, A., 2018. Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction Transactions of the Association for Computational Linguistics, v. 6
    Doi: 10.1162/tacl_a_00032
    •

    2017 (Accepted for publication)

  • Baker, S., Ali, I., Silins, I., Pyysalo, S., Guo, Y., Högberg, J., Stenius, U. and Korhonen, A., 2017 (Accepted for publication). Cancer Hallmarks Analytics Tool (CHAT): A text mining approach to organise and evaluate scientific literature on cancer Bioinformatics, v. 33
    Doi: http://doi.org/10.1093/bioinformatics/btx454
    •

    2017

  • Lu, Y., Guo, Y. and Korhonen, A., 2017. Link prediction in drug-target interactions network using similarity indices. BMC Bioinformatics, v. 18
    Doi: http://doi.org/10.1186/s12859-017-1460-z
    •
  • Larsson, K., Baker, S., Silins, I., Guo, Y., Stenius, U., Korhonen, A. and Berglund, M., 2017. Text mining for improved exposure assessment PLOS One, v. 12
    Doi: http://doi.org/10.1371/journal.pone.0173132
    •
  • Vulić, I., Gerz, D., Kiela, D., Hill, F. and Korhonen, A., 2017. HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment Computational Linguistics, v. 43
    Doi: http://doi.org/10.1162/COLI_a_00301
    •
  • Crichton, G., Pyysalo, S., Chiu, B. and Korhonen, A., 2017. A neural network multi-task learning approach to biomedical named entity recognition BMC Bioinformatics, v. 18
    Doi: http://doi.org/10.1186/s12859-017-1776-8
    •

    2016

  • Baker, S., Silins, I., Guo, Y., Ali, I., Högberg, J., Stenius, U. and Korhonen, A., 2016. Automatic semantic classification of scientific literature according to the hallmarks of cancer. Bioinformatics, v. 32
    Doi: http://doi.org/10.1093/bioinformatics/btv585
    •
  • Ali, I., Guo, Y., Silins, I., Högberg, J., Stenius, U. and Korhonen, A., 2016. Grouping chemicals for health risk assessment: A text mining-based case study of polychlorinated biphenyls (PCBs). Toxicol Lett, v. 241
    Doi: http://doi.org/10.1016/j.toxlet.2015.11.003
    •
  • Ali, I., Högberg, J., Hsieh, J-H., Auerbach, S., Korhonen, A., Stenius, U. and Silins, I., 2016. Gender differences in cancer susceptibility: role of oxidative stress. Carcinogenesis, v. 37
    Doi: http://doi.org/10.1093/carcin/bgw076
    •
  • Hill, F., Cho, K., Korhonen, A. and Bengio, Y., 2016. Learning to Understand Phrases by Embedding the Dictionary Transactions of the Association for Computational Linguistics, v. 4
    Doi: 10.1162/tacl_a_00080
    •

    2015

  • Guo, Y., Reichart, R. and Korhonen, A., 2015. Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents Transactions of Association for Computational Linguistics, v. 3
    •
  • Kiela, D., Guo, Y., Stenius, U. and Korhonen, A., 2015. Unsupervised discovery of information structure in biomedical documents. Bioinformatics, v. 31
    Doi: http://doi.org/10.1093/bioinformatics/btu758
    •
  • Kiela, D., Guo, Y., Stenius, U. and Korhonen, A., 2015. Unsupervised discovery of information structure in biomedical documents Bioinformatics, v. 31
    Doi: http://doi.org/10.1093/bioinformatics/btu758
    •
  • Hill, F., Reichart, R. and Korhonen, A., 2015. Simlex-999: Evaluating semantic models with (Genuine) similarity estimation Computational Linguistics, v. 41
    Doi: http://doi.org/10.1162/COLI_a_00237
    •
  • Korhonen, A., Baker, S., Silins, I., Guo, Y., Ali, I., Hogberg, J. and Stenius, U., 2015. Automatic Semantic Classification of Scientific Literature According to the Hallmarks of Cancer Bioinformatics,
    •
  • Alexopoulou, T., Geertzen, J., Korhonen, A. and Meurers, D., 2015. Exploring big educational learner corpora for SLA research* Perspectives on relative clauses International Journal of Learner Corpus Research, v. 1
    Doi: http://doi.org/10.1075/ijlcr.1.1.04ale
    •

    2014

  • Hill, F., Korhonen, A. and Reichart, R., 2014. Multi-Modal Models for Concrete and Abstract Concept Meaning Transactions of ACL (TACL), v. 2
    •
  • Séaghdha, D. and Korhonen, A., 2014. Probabilistic distributional semantics with latent variable models Computational Linguistics, v. 40
    Doi: http://doi.org/10.1162/COLI_a_00194
    •
  • Kiela, D., Hill, F., Korhonen, A. and Clark, S., 2014. Improving multi-modal representations using image dispersion: Why less is sometimes more 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference, v. 2
    Doi: http://doi.org/10.3115/v1/p14-2135
    •
  • Hill, F., Korhonen, A. and Bentz, C., 2014. A quantitative empirical analysis of the abstract/concrete distinction. Cogn Sci, v. 38
    Doi: http://doi.org/10.1111/cogs.12076
    •
  • Hill, F., Korhonen, A. and Bentz, C., 2014. A quantitative empirical analysis of the abstract/concrete distinction Cognitive Science, v. 38
    Doi: http://doi.org/10.1111/cogs.12076
    •
  • Kelly, C., Devereux, B. and Korhonen, A., 2014. Automatic extraction of property norm-like data from large text corpora Cognitive Science, v. 38
    Doi: http://doi.org/10.1111/cogs.12091
    •
  • Silins, I., Korhonen, A. and Stenius, U., 2014. Evaluation of carcinogenic modes of action for pesticides in fruit on the Swedish market using a text-mining tool. Front Pharmacol, v. 5
    Doi: http://doi.org/10.3389/fphar.2014.00145
    •

    2013

  • Lippincott, T., Rimell, L., Verspoor, K. and Korhonen, A., 2013. Approaches to verb subcategorization for biomedicine. J Biomed Inform, v. 46
    Doi: http://doi.org/10.1016/j.jbi.2012.12.001
    •
  • Poibeau, T., Villavicencio, A., Alishahi, A. and Korhonen, A., 2013. Computational Modeling as a Methodology for Studying Human Language Learning Cognitive Aspects of Computational Language Acquisition,
    •
  • Rimell, L., Lippincott, T., Verspoor, K., Johnson, HL. and Korhonen, A., 2013. Acquisition and evaluation of verb subcategorization resources for biomedicine. J Biomed Inform, v. 46
    Doi: http://doi.org/10.1016/j.jbi.2013.01.001
    •
  • Guo, Y., Silins, I., Stenius, U. and Korhonen, A., 2013. Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review. Bioinformatics, v. 29
    Doi: http://doi.org/10.1093/bioinformatics/btt163
    •
  • Rimell, L., Lippincott, T., Verspoor, K., Johnson, HL. and Korhonen, A., 2013. Acquisition and evaluation of verb subcategorization resources for biomedicine Journal of Biomedical Informatics, v. 46
    Doi: http://doi.org/10.1016/j.jbi.2013.01.001
    •
  • Lippincott, T., Rimell, L., Verspoor, K. and Korhonen, A., 2013. Approaches to verb subcategorization for biomedicine Journal of Biomedical Informatics, v. 46
    Doi: http://doi.org/10.1016/j.jbi.2012.12.001
    •
  • Kelly, C., Korhonen, A. and Devereux, B., 2013. Automatic extraction of property norm-like features from large text corpora with gold standard, human and semantic-similarity evaluations Cognitive Science,
    •
  • Shutova, E., Devereux, BJ. and Korhonen, A., 2013. Conceptual metaphor theory meets the data: a corpus-based human annotation study Language Resources and Evaluation,
    •
  • Shutova, E., Kaplan, J., Teufel, S. and Korhonen, A., 2013. A computational model of logical metonymy ACM Transactions on Speech and Language Processing, v. 10
    Doi: http://doi.org/10.1145/2483969.2483973
    •
  • Kelly, C., Devereux, B. and Korhonen, A., 2013. Automatic Extraction of Property Norm-Like Data From Large Text Corpora Cognitive Science,
    •
  • Shutova, E., Devereux, BJ. and Korhonen, A., 2013. Conceptual metaphor theory meets the data: A corpus-based human annotation study Language Resources and Evaluation, v. 47
    Doi: http://doi.org/10.1007/s10579-013-9238-z
    •

    2012

  • Kadekar, S., Silins, I., Korhonen, A., Dreij, K., Al-Anati, L., Hogberg, J. and Stenius, U., 2012. Exocrine Pancreatic Carcinogenesis and Autotaxin Expression PLOS ONE, v. 7
    Doi: http://doi.org/10.1371/journal.pone.0043209
    •
  • Silins, I., Korhonen, A., Högberg, J. and Stenius, U., 2012. Data and literature gathering in chemical cancer risk assessment Integrated Environmental Assessment and Management, v. 8
    Doi: http://doi.org/10.1002/ieam.1278
    •
  • Shutova, E., Teufel, SH. and Korhonen, A., 2012. Statistical Metaphor Processing Computational Linguistics, v. 39
    •
  • Van De Cruys, T., Rimell, L., Poibeau, T. and Korhonen, A., 2012. Multi-way tensor factorization for unsupervised lexical acquisition 24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers,
    •
  • Contractor, D., Guo, Y. and Korhonen, A., 2012. Using argumentative zones for extractive summarization of scientific articles 24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers,
    •
  • Lippincott, T., Séaghdha, D. and Korhonen, A., 2012. Learning syntactic verb frames using graphical models 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference, v. 1
    •
  • Korhonen, A., Séaghdha, DO., Silins, I., Sun, L., Högberg, J. and Stenius, U., 2012. Text mining for literature review and knowledge discovery in cancer risk assessment and research. PLoS One, v. 7
    Doi: http://doi.org/10.1371/journal.pone.0033427
    •

    2011

  • Guo, Y., Korhonen, A., Liakata, M., Silins, I., Hogberg, J. and Stenius, U., 2011. A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment. BMC Bioinformatics, v. 12
    Doi: http://doi.org/10.1186/1471-2105-12-69
    •
  • Lippincott, T., Séaghdha, DÓ. and Korhonen, A., 2011. Exploring subdomain variation in biomedical language. BMC Bioinformatics, v. 12
    Doi: http://doi.org/10.1186/1471-2105-12-212
    •
  • Guo, Y., Korhonen, A., Silins, I. and Stenius, U., 2011. Weakly supervised learning of information structure of scientific abstracts--is it accurate enough to benefit real-world tasks in biomedicine? Bioinformatics, v. 27
    Doi: http://doi.org/10.1093/bioinformatics/btr536
    •
  • Van De Cruys, T., Poibeau, T. and Korhonen, A., 2011. Latent vector weighting for word meaning in context EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    •
  • Guo, Y., Korhonen, A. and Poibeau, T., 2011. A weakly-supervised approach to Argumentative Zoning of scientific documents EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    •
  • Sun, L. and Korhonen, A., 2011. Hierarchical verb clustering using graph factorization EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    •
  • Séaghdh, DO. and Korhonen, A., 2011. Probabilistic models of similarity in syntactic context EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
    •

    2010

  • Korhonen, A., 2010. Automatic lexical classification: bridging research and practice. Philos Trans A Math Phys Eng Sci, v. 368
    Doi: http://doi.org/10.1098/rsta.2010.0039
    •
  • Shutova, E., Sun, L. and Korhonen, A., 2010. Metaphor identification using verb and noun clustering Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference, v. 2
    •
  • Sun, L., Korhonen, A., Poibeau, T. and Messiant, C., 2010. Investigating the cross-linguistic potential of verbnet -style classification Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference, v. 2
    •
  • Lippincott, T., Śeaghdha, DO., Sun, L. and Korhonen, A., 2010. Exploring variation across biomedical subdomains Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference, v. 2
    •
  • Korhonen, A., 2010. Automatic Lexical Classification - Bridging Research and Practice. In Philoshophical Transactions A of the Royal Society, v. 368
    •

    2009

  • Korhonen, A., 2009. Automatic lexical classification - Balancing between machine learning and linguistics PACLIC 23 - Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, v. 1
    •
  • Korhonen, A., Silins, I., Sun, L. and Stenius, U., 2009. The first step in the development of Text Mining technology for Cancer Risk Assessment: identifying and organizing scientific evidence in risk assessment literature. BMC Bioinformatics, v. 10
    Doi: http://doi.org/10.1186/1471-2105-10-303
    •
  • Silins, I., Korhonen, A., Hogberg, J., Sun, L. and Stenius, U., 2009. Improved cancer risk assessment using text mining CANCER RESEARCH, v. 69
    •
  • Devereux, B., Pilkington, N., Poibeau, T. and Korhonen, A., 2009. Towards Unrestricted, Large-Scale Acquisition of Feature-Based Conceptual Representations from Corpus Data Research on Language and Computation, v. 7
    Doi: http://doi.org/10.1007/s11168-010-9068-8
    •
  • Sun, L. and Korhonen, A., 2009. Improving verb clustering with automatically acquired selectional preferences EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009,
    Doi: http://doi.org/10.3115/1699571.1699596
    •

    2008

  • Kipper, K., Korhonen, A., Ryant, N. and Palmer, M., 2008. A large-scale classification of English verbs LANG RESOUR EVAL, v. 42
    Doi: http://doi.org/10.1007/s10579-007-9048-2
    •
  • Korhonen, A., Krymolowski, Y. and Collier, N., 2008. The choice of features for classification of verbs in biomedical texts Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference, v. 1
    Doi: http://doi.org/10.3115/1599081.1599138
    •

    2007

  • 2007. Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition

    • 2006

  • Mizuta, Y., Korhonen, A., Mullen, T. and Collier, N., 2006. Zone analysis in biology articles as a basis for information extraction. Int J Med Inform, v. 75
    Doi: http://doi.org/10.1016/j.ijmedinf.2005.06.013
    •

    2005

  • Buttery, P. and Korhonen, A., 2005. Large-scale analysis of verb subcategorization differences between child directed speech and adult speech Proceedings of the Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes,
    •
  • Villavicencio, A., Bond, F., Korhonen, A. and McCarthy, D., 2005. Introduction to the special issue on multiword expressions: Having a crack at a hard nut COMPUT SPEECH LANG, v. 19
    Doi: http://doi.org/10.1016/j.csl.2005.05.001
    •
  • Yallop, J., Korhonen, A. and Briscoe, T., 2005. Automatic acquisition of adjectival subcategorization from corpora ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference,
    Doi: http://doi.org/10.3115/1219840.1219916
    •

    1999

  • Baljko, M. and Korhonen, A., 1999. Preface to the student session papers Proceedings of the Annual Meeting of the Association for Computational Linguistics, v. 1999-June
    •
    Theses / dissertations

    2023 (No publication date)

  • Liu, Q., 2023 (No publication date). On the Evaluation and Modelling of Context-sensitive Lexical Semantics
    Doi: http://doi.org/10.17863/CAM.95289
    •
    Datasets

    2018

  • Chiu, HW., Pyysalo, S., Vulic, I. and Korhonen, A., 2018. Bio-SimVerb
    Doi: http://doi.org/10.17863/CAM.18370
    •

    2017 (No publication date)

  • Gerz, DS., Vulic, I., Hill, F., Reichart, R. and Korhonen, A., 2017 (No publication date). Research data supporting "SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity"
    • Book chapters

    2018

  • Jiang, X., Huang, Y., Guo, Y., Geertzen, J., Alexopoulou, T., Sun, L. and Korhonen, A., 2018. Native language identification on EFCAMDAT
    Doi: http://doi.org/10.1017/9781316676974.007
    •

    2013

  • Korhonen, A., 2013. Tools and Procedures for the Acquisition of Morphological and Syntactical Information from Corpora
    • Books

    2013

  • Villavicencio, A., Poibeau, T., Alishahi, A. and Korhonen, A., 2013. Cognitive Aspects of Computational Language Acquisition
    • Professor Anna Korhonen

    Contact Details

    Email address: 
    alk23@cam.ac.uk
    (+44) (0)1223 767389
    http://www.cl.cam.ac.uk/~alk23/

    Affiliations

    Classifications: 
    Academic Staff

    Study at Cambridge

    About the University

    Research at Cambridge