| Computational Argumentation Quality Assessment in Natural Language H Wachsmuth, N Naderi, Y Hou, Y Bilu, V Prabhakaran, TA Thijm, G Hirst, ... EACL, 2017 | 153 | 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 | 87 | 2021 |
| 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 | 76 | 2013 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 73 | 2021 |
| 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 | 72 | 2012 |
| 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 | 58 | 2018 |
| Argumentation Quality Assessment: Theory vs. Practice H Wachsmuth, N Naderi, I Habernal, Y Hou, G Hirst, I Gurevych, B Stein ACL, 2017 | 58 | 2017 |
| Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction Y Hou, C Jochim, M Gleize, F Bonin, D Ganguly arXiv preprint arXiv:1906.09317, 2019 | 49 | 2019 |
| 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 | 47 | 2020 |
| 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, ... arXiv preprint arXiv:2206.04615, 2022 | 45 | 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 | 39 | 2014 |
| A Summarization System for Scientific Documents S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ... arXiv preprint arXiv:1908.11152, 2019 | 36 | 2019 |
| Unrestricted bridging resolution Y Hou, K Markert, M Strube Computational Linguistics 44 (2), 237-284, 2018 | 35 | 2018 |
| Bridging Anaphora Resolution as Question Answering Y Hou arXiv preprint arXiv:2004.07898, 2020 | 33 | 2020 |
| Cascading Collective Classification for Bridging Anaphora Recognition Using a Rich Linguistic Feature Set Y Hou, K Markert, M Strube EMNLP, 2013 | 32 | 2013 |
| Analyzing sentiment in classical Chinese poetry Y Hou, A Frank Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural …, 2015 | 29 | 2015 |
| 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 | 28 | 2020 |
| Argument Relation Classification Using a Joint Inference Model Y Hou, C Jochim the 4th argMining workshop@EMNLP 2017, 60, 2017 | 25 | 2017 |
| Enhanced Word Representations for Bridging Anaphora Resolution Y Hou arXiv preprint arXiv:1803.04790, 2018 | 24 | 2018 |
| Incremental Fine-grained Information Status Classification Using Attention-based LSTMs Y Hou COLING, 2016 | 20 | 2016 |
Michael StrubeHeidelberg Institute for Theoretical Studies gGmbHVerified email at h-its.org
