Publications
🎓 PhD Thesis
The Role of Linguistics in Probing Task Design
Kuznetsov, I. Technische Universität Darmstadt. 2022.
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📚 Journal articles
Revise and resubmit: An intertextual model of text-based collaboration in peer review
Kuznetsov, I., Buchmann, J., Eichler, M., & Gurevych, I.
Computational Linguistics, 48.4 (2022), pp. 949–986.
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Using natural language processing to support peer-feedback in the age of artificial intelligence
Bauer, E., Greisel, M., Kuznetsov, I., Berndt, M., Kollar, I., Dresel, M., Fischer, M. R., & Fischer, F.
British Journal of Educational Technology, 54.5 (2024), pp. 1222–1245.
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LINSPECTOR: Multilingual probing tasks for word representations
Şahin, G. G., Vania, C., Kuznetsov, I., & Gurevych, I.
Computational Linguistics, 46.2 (2020), pp. 335–385.
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🔥 Important preprints
What Can Natural Language Processing Do for Peer Review?
Kuznetsov, I., Afzal, O., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., Lu, S., Mausam, Mieskes, M., Névéol, A., Pruthi, D., Qu, L., Schwartz R., Smith, N. A., Solorio, T., Wang, J., Zhu, X., Rogers, A., Shah, N. B., Gurevych, I.
arXiv:2405.06563 (2024)
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📖 Conference papers
Document structure in long document transformers
Buchmann, J., Eichler, M., Bodensohn, J.-M., Kuznetsov, I., & Gurevych, I.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 1056–1073.
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M2QA: Multi-domain multilingual question answering
Engländer, L., Sterz, H., Poth, C., Pfeiffer, J., Kuznetsov, I., & Gurevych, I.
Findings of the Association for Computational Linguistics: EMNLP 2024, 2024, pp. 6283–6305.
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Are large language models good classifiers? A study on edit intent classification in scientific document revisions
Ruan, Q., Kuznetsov, I., & Gurevych, I.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, pp. 15049–15067.
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Re3: A holistic framework and dataset for modeling collaborative document revision
Ruan, Q., Kuznetsov, I., & Gurevych, I.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 4635–4655.
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Systematic task exploration with LLMs: A study in citation text generation
Şahinuç, F., Kuznetsov, I., Hou, Y., & Gurevych, I.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 4832–4855.
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CARE: Collaborative AI-assisted reading environment
Zyska, D., Dycke, N., Buchmann, J., Kuznetsov, I., & Gurevych, I.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023, pp. 291–303.
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NLPeer: A unified resource for the computational study of peer review
Dycke, N., Kuznetsov, I., & Gurevych, I.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023, pp. 5049–5073.
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Overview of PragTag-2023: Low-resource multi-domain pragmatic tagging of peer reviews
Dycke, N., Kuznetsov, I., & Gurevych, I.
Proceedings of the 10th Workshop on Argument Mining, 2023, pp. 187–196.
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CiteBench: A benchmark for scientific citation text generation
Funkquist, M., Kuznetsov, I., Hou, Y., & Gurevych, I.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023, pp. 7337–7353.
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How to use theory to implement natural language processing for peer-feedback
Greisel, M., Bauer, E., Kuznetsov, I., Berndt, M., Dresel, M., Fischer, M. R., Kollar, I., & Fischer, F.
Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning-CSCL, 2023, pp. 237–240.
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Yes-yes-yes: Proactive data collection for ACL rolling review and beyond
Dycke, N., Kuznetsov, I., & Gurevych, I.
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022, pp. 300–318.
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An inclusive notion of text
Kuznetsov, I., & Gurevych, I.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023, pp. 11311–11327.
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A matter of framing: The impact of linguistic formalism on probing results
Kuznetsov, I., & Gurevych, I.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, pp. 171–182.
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Does my rebuttal matter? Insights from a major NLP conference
Gao, Y., Eger, S., Kuznetsov, I., Miyao, Y. & Gurevych, I.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019, pp. 1274–1290.
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Corpus-driven thematic hierarchy induction
Kuznetsov, I., & Gurevych, I.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2019, pp. 54–64.
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From text to lexicon: Bridging the gap between word embeddings and lexical resources
Kuznetsov, I., & Gurevych, I.
Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 233–244.
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EELECTION at SemEval-2017 Task 10: Ensemble of neural learners for keyphrase classification
Eger, S., Dinh, E.-L. D., Kuznetsov, I., Kiaeeha, M., & Gurevych, I.
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017, pp. 942–946.
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Out-of-domain FrameNet semantic role labeling
Hartmann, S., Kuznetsov, I., Martı́n-Valdivia, M. T., & Gurevych, I.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 471–482.
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Assessing SRL frameworks with automatic training data expansion
Hartmann, S., Mújdricza-Maydt, E., Kuznetsov, I., Gurevych, I., & Frank, A.
Proceedings of the 11th Linguistic Annotation Workshop, 2017, pp. 115–121.
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