| Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions on Machine Learning Research, 2022 | 1300 | 2022 |
| Computational Argumentation Quality Assessment in Natural Language H Wachsmuth, N Naderi, Y Hou, Y Bilu, V Prabhakaran, TA Thijm, G Hirst, ... EACL 2017, 2017 | 264 | 2017 |
| An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 249 | 2021 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... Proceedings of the 1st Workshop on Natural Language Generation, Evaluation …, 2021 | 163 | 2021 |
| Fantastic Questions and Where to Find Them: FairytaleQA--An Authentic Dataset for Narrative Comprehension Y Xu, D Wang, M Yu, D Ritchie, B Yao, T Wu, Z Zhang, TJJ Li, N Bradford, ... ACL 2022, 2022 | 99 | 2022 |
| Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction Y Hou, C Jochim, M Gleize, F Bonin, D Ganguly ACL 2019, 2019 | 98 | 2019 |
| Argumentation Quality Assessment: Theory vs. Practice H Wachsmuth, N Naderi, I Habernal, Y Hou, G Hirst, I Gurevych, B Stein ACL 2017, 2017 | 93 | 2017 |
| Global inference for bridging anaphora resolution Y Hou, K Markert, M Strube Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 86 | 2013 |
| Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining E Shnarch, C Alzate, L Dankin, M Gleize, Y Hou, L Choshen, R Aharonov, ... Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 84 | 2018 |
| Corpus Wide Argument Mining—A Working Solution L Ein-Dor, E Shnarch, L Dankin, A Halfon, B Sznajder, A Gera, C Alzate, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7683-7691, 2020 | 81 | 2020 |
| Collective classification for fine-grained information status K Markert, Y Hou, M Strube Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 79 | 2012 |
| A Summarization System for Scientific Documents S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ... EMNLP 2019 (Demo), 2019 | 70 | 2019 |
| End-to-end argumentation knowledge graph construction K Al-Khatib, Y Hou, H Wachsmuth, C Jochim, F Bonin, B Stein Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7367-7374, 2020 | 61 | 2020 |
| End-to-End Construction of NLP Knowledge Graph I Mondal, Y Hou, C Jochim Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 58* | 2021 |
| Unrestricted bridging resolution Y Hou, K Markert, M Strube Computational Linguistics 44 (2), 237-284, 2018 | 51 | 2018 |
| Bridging Anaphora Resolution as Question Answering Y Hou ACL 2020, 2020 | 50 | 2020 |
| Analyzing sentiment in classical Chinese poetry Y Hou, A Frank Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural …, 2015 | 47 | 2015 |
| Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization Z Zhao, Y Hou, D Wang, M Yu, C Liu, X Ma ACL 2022, 2022 | 46 | 2022 |
| A Rule-Based System for Unrestricted Bridging Resolution: Recognizing Bridging Anaphora and Finding Links to Antecedents Y Hou, K Markert, M Strube EMNLP 2014, 2014 | 44 | 2014 |
| D2S: Document-to-Slide Generation Via Query-Based Text Summarization E Sun, Y Hou, D Wang, Y Zhang, NXR Wang NAACL 2021, 2021 | 42 | 2021 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaBestätigte E-Mail-Adresse bei cs.tu-darmstadt.de