Using natural language processing to support peer‐feedback in the age of artificial intelligence: A cross‐disciplinary framework and a research agenda E Bauer, M Greisel, I Kuznetsov, M Berndt, I Kollar, M Dresel, MR Fischer, ... British Journal of Educational Technology 54 (5), 1222-1245, 2023 | 94 | 2023 |
Does My Rebuttal Matter? Insights from a Major NLP Conference Y Gao, S Eger, I Kuznetsov, Y Miyao, I Gurevych Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 73 | 2019 |
Out-of-domain FrameNet semantic role labeling S Hartmann, I Kuznetsov, MT Martín-Valdivia, I Gurevych Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 66 | 2017 |
LINSPECTOR: Multilingual probing tasks for word representations GG Şahin, C Vania, I Kuznetsov, I Gurevych Computational Linguistics 46 (2), 335-385, 2020 | 48 | 2020 |
Revise and resubmit: An intertextual model of text-based collaboration in peer review I Kuznetsov, J Buchmann, M Eichler, I Gurevych Computational Linguistics 48 (4), 949-986, 2022 | 34 | 2022 |
NLPeer: A unified resource for the computational study of peer review N Dycke, I Kuznetsov, I Gurevych Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 29 | 2023 |
A matter of framing: The impact of linguistic formalism on probing results I Kuznetsov, I Gurevych Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 26 | 2020 |
What Can Natural Language Processing Do for Peer Review? I Kuznetsov, OM Afzal, K Dercksen, N Dycke, A Goldberg, T Hope, D Hovy, ... arXiv preprint arXiv:2405.06563, 2024 | 16* | 2024 |
Yes-yes-yes: Proactive data collection for ACL rolling review and beyond N Dycke, I Kuznetsov, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2022, 300–318, 2023 | 11* | 2023 |
From text to lexicon: Bridging the gap between word embeddings and lexical resources I Kuznetsov, I Gurevych Proceedings of the 27th International Conference on Computational …, 2018 | 11 | 2018 |
Eelection at semeval-2017 task 10: Ensemble of neural learners for keyphrase classification S Eger, ELD Dinh, I Kuznetsov, M Kiaeeha, I Gurevych Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 11 | 2017 |
Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews N Dycke, I Kuznetsov, I Gurevych Proceedings of the 10th Workshop on Argument Mining, 187-196, 2023 | 7 | 2023 |
Assessing SRL frameworks with automatic training data expansion S Hartmann, E Mújdricza-Maydt, I Kuznetsov, I Gurevych, A Frank Proceedings of the 11th Linguistic Annotation Workshop, 115-121, 2017 | 7 | 2017 |
CARE: Collaborative AI-Assisted Reading Environment D Zyska, N Dycke, J Buchmann, I Kuznetsov, I Gurevych Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 6 | 2023 |
Assisting decision making in scholarly peer review: A preference learning perspective N Dycke, E Simpson, I Kuznetsov, I Gurevych arXiv preprint arXiv:2109.01190, 2021 | 6* | 2021 |
M2qa: Multi-domain multilingual question answering L Engländer, H Sterz, C Poth, J Pfeiffer, I Kuznetsov, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2024, 6283–6305, 2024 | 5 | 2024 |
Citebench: A benchmark for scientific citation text generation M Funkquist, I Kuznetsov, Y Hou, I Gurevych Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 5 | 2023 |
Document Structure in Long Document Transformers J Buchmann, M Eichler, JM Bodensohn, I Kuznetsov, I Gurevych Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 3 | 2024 |
Systematic Task Exploration with LLMs: A Study in Citation Text Generation F Şahinuç, I Kuznetsov, Y Hou, I Gurevych Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 2 | 2024 |
Corpus-driven thematic hierarchy induction I Kuznetsov, I Gurevych Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 2 | 2018 |