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Cambridge Public Health

 

My research group works on biomedical information processing. Our expertise is in text and data mining using techniques from advanced computer science. I have led a range of projects on biomedical text mining, many of which have focussed on developing developing literature analysis or classification tools for supporting research in public health. One of my research projects has developed CRAB – a text mining tool for supporting cancer risk assessment of chemicals.
http://www.cl.cam.ac.uk/~alk23/

Publications from Elements

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
  • 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,
  • 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
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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
  • 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,
  • 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,
  • 2022

  • 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., Vulić, I. and Korhonen, A., 2022. Improving Bilingual Lexicon Induction with Cross-Encoder Reranking Findings of the Association for Computational Linguistics: EMNLP 2022,
  • 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,
  • 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
  • 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
  • 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,
  • 2021 (No publication date)

  • Liu, F., Vulić, I., Korhonen, A. and Collier, N., 2021 (No publication date). Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers),
    Doi: http://doi.org/10.18653/v1/2021.acl-short.72
  • 2021 (Accepted for publication)

  • Liu, F., Vulić, I., Korhonen, A. and Collier, N., 2021 (Accepted for publication). Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
  • Liu, Q., Liu, F., Collier, N., Korhonen, A. and Vulić, I., 2021 (Accepted for publication). MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models Proceedings of the 25th Conference on Computational Natural Language Learning,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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,
  • 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
  • Vulic, I., Korhonen, A. and Glavas, G., 2020 (Accepted for publication). Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector Spaces
  • Karan, M., Vulic, I., Korhonen, A. and Glavas, G., 2020 (Accepted for publication). Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction
  • Majewska, O., McCarthy, D., van den Bosch, J., Kriegeskorte, N., Vulic, I. and Korhonen, A., 2020 (Accepted for publication). Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020,
  • Gerz, D., Vulic, I., Rei, M., Reichart, R. and Korhonen, A., 2020 (Accepted for publication). Multidirectional Associative Optimization of Function-Specific Word Representations
  • 2020

  • 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),
  • 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),
  • 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,
  • 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),
  • 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,
  • 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),
  • 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,
  • 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
  • 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
  • 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,
  • 2019 (No publication date)

  • Liu, Q., McCarthy, D., Vulic, I. and Korhonen, A., 2019 (No publication date). Investigating Cross-lingual Alignment Methods for Contextualized Embeddings with Token-level Evaluation
  • Liu, Q., McCarthy, D. and Korhonen, A., 2019 (No publication date). Second-order contexts from lexical substitutes for few-shot learning of word representations
  • 2019 (Accepted for publication)

  • Shareghi Nojehdeh, E., Li, Y., Zhu, Y., Reichart, R. and Korhonen, A., 2019 (Accepted for publication). Bayesian Learning for Neural Dependency Parsing
  • Chiu, B., Baker, S., Palmer, M. and Korhonen, A., 2019 (Accepted for publication). Enhancing biomedical word embeddings by retrofitting to verb clusters Proceedings of the 18th BioNLP Workshop and Shared Task,
  • Zhu, Y., Vulic, I. and Korhonen, A., 2019 (Accepted for publication). A Systematic Study of Leveraging Subword Information for Learning Word Representations
  • 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
  • Ponti, E., Vulic, I., Cotterell, R., Reichart, R. and Korhonen, A., 2019 (Accepted for publication). Towards Zero-shot Language Modeling
  • Ponti, E., Vulic, I., Glavaš, G., Reichart, R. and Korhonen, A., 2019 (Accepted for publication). Cross-lingual Semantic Specialization via Lexical Relation Induction
  • Vulic, I., Glavas, G., Reichart, R. and Korhonen, A., 2019 (Accepted for publication). Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
  • 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
  • 2019

  • 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,
  • 2018 (No publication date)

  • Majewska, O., McCarthy, D., Vulić, I. and Korhonen, A., 2018 (No publication date). Acquiring Verb Classes Through Bottom-Up Semantic Verb Clustering
  • 2018 (Accepted for publication)

  • Gerz, D., Vulic, I., Ponti, EM., Reichart, R. and Korhonen, A., 2018 (Accepted for publication). On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
  • Vulic, I., Ponti, E., Glavaš, G., Mrkšić, N. and Korhonen, A., 2018 (Accepted for publication). Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
  • 2018

  • 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
  • Vulic, I. and Korhonen, A., 2018. Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
  • 2017 (No publication date)

  • Baker, S., Korhonen, A. and Pyysalo, S., 2017 (No publication date). Cancer Hallmark Text Classification Using Convolutional Neural Networks
  • 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
  • Ponti, EM. and Korhonen, A., 2017. Event-Related Features in Feedforward Neural Networks Contribute to Identifying Implicit Causal Relations in Discourse
  • Vulić, I., Mrkšić, N., Reichart, R., Ó Séaghdha, D., Young, S. and Korhonen, A., 2017. Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
    Doi: http://doi.org/10.18653/v1/P17-1006
  • Ponti, Edoardo Maria, , Vulić, Ivan, and Korhonen, Anna, , 2017. Decoding Sentiment from Distributed Representations of Sentences
  • Baker, S. and Korhonen, A., 2017. Initializing neural networks for hierarchical multi-label text classification
  • 2016

  • Berzak, Y., Huang, Y., Barbu, A., Katz, B. and Korhonen, A., 2016. Anchoring and Agreement in Syntactic Annotations Proceedings of EMNLP 2016,
  • Korhonen, A. and Vulić, I., 2016. Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations? Proceedings of ACL 2016,
  • Korhonen, A. and Vulić, I., 2016. On the role of seed lexicons in learning bilingual word embeddings Proceedings of ACL 2016,
  • Chiu, B., Pyysalo, S. and Korhonen, A., 2016. Intrinsic evaluation of word vectors fails to predict extrinsic performance Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP,
  • Chiu, B., Crichton, G., Pyysalo, S. and Korhonen, A., 2016. How to Train Good Word Embeddings for Biomedical NLP Proceedings of the 5th Workshop on Biomedical Natural Language Processing,
  • 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,
  • 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
  • O Horan, H., Berzak, Y., Vulić, I., Korhonen, A. and Reichart, R., 2016. Survey on the Use of Typological Information in Natural Language Processing Proceedings of Coling 2016,
  • Baker, S., Korhonen, A. and Douwe, K., 2016. Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings Proceedings of Coling 2016,
  • Gerz, D., Vulić, I., Hill, F., Reichart, R. and Korhonen, A., 2016. SimVerb- 3500: A Large-Scale Evaluation Set of Verb Similarity Proceedings of EMNLP 2016,
  • 2015

  • 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,
  • 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
  • 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
  • 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
  • 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
  • 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,
  • Guo, Y., Séaghdha, DÓ., Silins, I., Sun, L., Hogberg, J., Korhonen, A. and Stenius, U., 2014. CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment Proceedings of Coling 2014,
  • 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,
  • 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,
  • 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,
  • 2013

  • 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,
  • 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,
  • 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
  • Korhonen, A. and Reichart, R., 2013. Improved Lexical Acquisition through DPP-based Verb Clustering Association for Computational Linguistics,
  • Hill, F., Korhonen, A. and Kiela, D., 2013. Concreteness and corpora: A theoretical and practical analysis Proceedings of the ACL 2013 Workshop on Cognitive Modelling and 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 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 Proceedings of the Annual Meeting of the Cognitive Science Society,
  • Baldwin, T. and Korhonen, A., 2013. Preface EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference,
  • 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

  • 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),
  • Korhonen, A. and Séaghdha, DÓ., 2012. Modelling selectional preferences in a lexical hierarchy Proceedings of the 1st Joint Conference on Lexical and Computational Semantics (*SEM 2012),
  • Kelly, C., Korhonen, A. and Devereux, B., 2012. Semi-supervised learning for automatic conceptual property extraction Proceedings of the NAACL 2012 Cognitive Modeling and Computational Linguistics Workshop,
  • 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),
  • 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
  • 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),
  • 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),
  • 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,
  • 2010

  • Guo, Y., Korhonen, A., Liakata, M., Silins, I., Stenius, U. and Sun, L., 2010. Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes Proceedings of bio-NLP 2010,
  • 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,
  • 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,
  • 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,
  • Devereux, B., Pilkington, N., Korhonen, A. and Poibeau, T., 2010. Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora Proceedings of the Annual Meeting of the Cognitive Science Society,
  • 2009

  • Vlachos, A., Korhonen, A. and Ghahramani, Z., 2009. Unsupervised and constrained dirichlet process mixture models for verb clustering.
  • 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,
  • 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 of BioNLP,
  • 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

  • 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,
  • Messiant, C., Poibeau, T. and Korhonen, A., 2008. LexSchem: A Large Subcategorization Lexicon for French Verbs Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC),
  • Sun, L., Korhonen, A. and Krymolowski, Y., 2008. Automatic Classification of English Verbs Using Rich Syntactic Features Proceedings of the 3rd International Joint Conference on Natural Language Processing,
  • Sun, L., Korhonen, A. and Krymolowski, Y., 2008. Verb class discovery from rich syntactic data COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, v. 4919
  • 2007

  • 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,
  • Buttery, P. and and Anna Korhonen, AV., 2007. The proceedings of the ACL 2007 Workshop on Cognitive Aspects of Computational Language Acquisition
  • 2006

  • Kipper, K., Korhonen, A., Ryant, N. and Palmer, M., 2006. Extending VerbNet with Novel Verb Classes Proceedings of 5th international conference on Language Resources and Evaluation,
  • 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,
  • 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 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05,
    Doi: 10.3115/1219840.1219916
  • 2004

  • Korhonen, A. and Preiss, J., 2004. WSD for Subcategorization Acquisition Task Description Proceedings of the ACL SENSEVAL-3 Workshop,
  • 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. and Preiss, J., 2003. Improving subcategorization acquisition using word sense disambiguation 41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE,
  • 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,
  • 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 Proceedings of the 3rd International Conference on Language Resources and Evaluation, LREC 2002,
  • 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
  • Theses / dissertations

    2023 (No publication date)

  • Liu, Q., 2023 (No publication date). On the Evaluation and Modelling of Context-sensitive Lexical Semantics
  • Journal articles

    2023 (Accepted for publication)

  • Petti, U., Baker, S., Korhonen, A. and Robin, J., 2023 (Accepted for publication). The generalizability of longitudinal changes in speech before AD diagnosis Journal of Alzheimer's Disease,
    Doi: http://doi.org/10.3233/JAD-220847
  • Petti, U., Baker, S., Korhonen, A. and Robin, J., 2023 (Accepted for publication). How much speech data is needed for tracking language change in Alzheimer’s disease? A comparison of random length, 5-minute and 1-minute spontaneous speech samples Digital Biomarkers,
    Doi: http://doi.org/10.1159/000533423
  • Dittmer, S., Roberts, M., Gilbey, J., biguri, A., preller, J., Rudd, J., Aston, J. and Schönlieb, C-B., 2023 (Accepted for publication). Navigating the development challenges in creating complex data systems Nature Machine Intelligence,
  • 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
  • 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
  • 2023

  • 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
  • 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
  • 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
  • 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
  • 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 (Accepted for publication)

  • Roberts, M., Driggs, D., Thorpe, MATTHEW., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A., Etmann, C., McCague, C., Beer, L., Weir-McCall, J., Teng, Z., Gkrania-Klotsas, E., Collaboration, AIX-COVNET., Rudd, J., Sala, E. and Schoenlieb, C-B., 2021 (Accepted for publication). Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Nature Machine Intelligence,
  • 2021

  • 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
  • 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
  • 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
  • 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
  • Crichton, G., Baker, S., Guo, Y. and Korhonen, A., 2020 (Accepted for publication). Neural networks for open and closed Literature-based Discovery PLoS One,
  • 2020

  • 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 (Accepted for publication)

  • Ponti, EM., O’Horan, H., Berzak, Y., Vulić, I., Reichart, R., Poibeau, T., Shutova, E. and Korhonen, A., 2019 (Accepted for publication). Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing Computational Linguistics,
    Doi: http://doi.org/10.1162/coli_a_00357
  • 2018 (Accepted for publication)

  • Chiu, HW., Pyysalo, S., Vulic, I. and Korhonen, A., 2018 (Accepted for publication). Bio-SimVerb and Bio-SimLex: Wide-coverage Evaluation Sets of Word Similarity in Biomedicine BMC Bioinformatics,
  • 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
  • Crichton, G., Guo, Y., Pyysalo, S. and Korhonen, A., 2018 (Accepted for publication). Neural Networks for Link Prediction in Realistic Biomedical Graphs: A Multi-dimensional Evaluation of Graph Embedding-based Approaches BMC Bioinformatics,
  • Gerz, D., Vulic, I., Ponti, E., Naradowsky, J., Reichart, R. and Korhonen, A., 2018 (Accepted for publication). Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction Transactions of the Association for Computational Linguistics (TACL), v. 6
    Doi: http://doi.org/10.1162/tacl_a_00032
  • Pyssalo, S., Baker, S., Ali, I., Haselwimmer, S., Shah, T., Young, A., Guo, Y., Högberg, J., Stenius, U., Narita, M. and Korhonen, A., 2018 (Accepted for publication). LION LBD: a Literature-Based Discovery System for Cancer Biology Bioinformatics,
  • 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
  • 2017 (Accepted for publication)

  • Majewska, O., Vulić, I., McCarthy, D., Huang, Y., Murakami, A., Laippala, V. and Korhonen, A., 2017 (Accepted for publication). Investigating the cross-lingual translatability of VerbNet-style classification Language Resources and Evaluation,
  • 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

  • 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
  • Hill, F., Cho, K., Bengio, J. and Korhonen, A., 2016. Learning to Understand Phrases by Embedding the Dictionary Transactions of the Association for Computational Linguistics (TACL), v. 4
    Doi: http://doi.org/10.1162/tacl_a_00080
  • 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
  • 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
  • 2015

  • 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
  • Guo, Y., Korhonen, A. and Reichart, R., 2015. Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents Transactions of the Association for Computational Linguistics (TACL), 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
  • 2014

  • 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
  • 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 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
  • 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
  • Hill, F., Korhonen, A. and Reichart, R., 2014. Multi-Modal Models for Concrete and Abstract Concept Meaning Transactions of ACL (TACL), v. 2
  • 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
  • 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
  • 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
  • 2012

  • 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
  • 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
  • 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
  • 2011

  • 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,
  • 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,
  • 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
  • Korhonen, A., 2010. Automatic Lexical Classification - Bridging Research and Practice. In Philoshophical Transactions A of the Royal Society, v. 368
  • 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
  • 2009

  • 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
  • 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
  • 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

  • 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
  • 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
  • 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

  • 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
  • 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
  • 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
  • Datasets

    2018 (No publication date)

  • Chiu, HW., Pyysalo, S., Vulic, I. and Korhonen, A., 2018 (No publication date). Bio-SimVerb
  • 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 (No publication date)

  • Jiang, X., Huang, Y., Guo, Y., Geertzen, J., Alexopoulou, T., Sun, L. and Korhonen, A., 2018 (No publication date). Native Language Identification on EFCAMDAT
  • 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