| Does my rebuttal matter? Insights from a major NLP conference Y Gao, S Eger, I Kuznetsov, I Gurevych, Y Miyao arXiv preprint arXiv:1903.11367, 2019 | 64* | 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 | 59 | 2017 |
| LINSPECTOR: Multilingual probing tasks for word representations GG Şahin, C Vania, I Kuznetsov, I Gurevych Computational Linguistics 46 (2), 335-385, 2020 | 39 | 2020 |
| 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 | 35 | 2023 |
| A matter of framing: The impact of linguistic formalism on probing results I Kuznetsov, I Gurevych arXiv preprint arXiv:2004.14999, 2020 | 21 | 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 | 20 | 2022 |
| 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 arXiv preprint arXiv:1704.02215, 2017 | 10 | 2017 |
| NLPeer: A unified resource for the computational study of peer review N Dycke, I Kuznetsov, I Gurevych arXiv preprint arXiv:2211.06651, 2022 | 9 | 2022 |
| Yes-yes-yes: Proactive data collection for ACL rolling review and beyond N Dycke, I Kuznetsov, I Gurevych arXiv preprint arXiv:2201.11443, 2022 | 7* | 2022 |
| 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 |
| 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 | 3 | 2023 |
| Citebench: A benchmark for scientific citation text generation M Funkquist, I Kuznetsov, Y Hou, I Gurevych arXiv preprint arXiv:2212.09577, 2022 | 3 | 2022 |
| Ranking scientific papers using preference learning N Dycke, E Simpson, I Kuznetsov, I Gurevych arXiv preprint arXiv:2109.01190, 2021 | 3 | 2021 |
| 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 | 2 | 2021 |
| Corpus-driven thematic hierarchy induction I Kuznetsov, I Gurevych Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 2 | 2018 |
| Document Structure in Long Document Transformers J Buchmann, M Eichler, JM Bodensohn, I Kuznetsov, I Gurevych arXiv preprint arXiv:2401.17658, 2024 | | 2024 |
| CARE: Collaborative AI-Assisted Reading Environment D Zyska, N Dycke, J Buchmann, I Kuznetsov, I Gurevych arXiv preprint arXiv:2302.12611, 2023 | | 2023 |
| How to Use Theory to Implement Natural Language Processing for Peer-Feedback M Greisel, E Bauer, I Kuznetsov, M Berndt, M Dresel, MR Fischer, I Kollar, ... Proceedings of the 16th International Conference on Computer-Supported …, 2023 | | 2023 |
| An Inclusive Notion of Text I Kuznetsov, I Gurevych Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022 | | 2022 |
