| 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 | 58 | 2021 |
| 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 | 49 | 2018 |
| Are you convinced? choosing the more convincing evidence with a Siamese network M Gleize, E Shnarch, L Choshen, L Dankin, G Moshkowich, R Aharonov, ... arXiv preprint arXiv:1907.08971, 2019 | 45 | 2019 |
| 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 | 42 | 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 | 36 | 2020 |
| A summarization system for scientific documents S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ... arXiv preprint arXiv:1908.11152, 2019 | 32 | 2019 |
| Limsiiles: Basic english substitution for student answer assessment at semeval 2013 M Gleize, B Grau Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 8 | 2013 |
| TDMSci: a specialized corpus for scientific literature entity tagging of tasks datasets and metrics Y Hou, C Jochim, M Gleize, F Bonin, D Ganguly arXiv preprint arXiv:2101.10273, 2021 | 7 | 2021 |
| Exploring the social drivers of health during a pandemic: Leveraging knowledge graphs and population trends in COVID-19 JH Bettencourt-Silva, N Mulligan, C Jochim, N Yadav, W Sedlazek, ... Integrated Citizen Centered Digital Health and Social Care, 6-11, 2020 | 7 | 2020 |
| LIMSI-CNRS@ CLEF 2015: Tree Edit Beam Search for Multiple Choice Question Answering. M Gleize, B Grau CLEF 2015, 2015 | 7 | 2015 |
| HBCP corpus: A new resource for the analysis of behaviour change intervention reports F Bonin, A Finnerty, C Moore, C Jochim, E Norris, Y Hou, M Gleize, ... European Language Resources Association, 2020 | 6 | 2020 |
| A unified kernel approach for learning typed sentence rewritings M Gleize, B Grau Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 6 | 2015 |
| A hierarchical taxonomy for classifying hardness of inference tasks M Gleize, B Grau International Conference on Language Resources and Evaluation, 2014 | 6 | 2014 |
| LIMSI-CNRS@ CLEF 2014: Invalidating Answers for Multiple Choice Question Answering. M Gleize, AL Ligozat, B Grau CLEF 2014, 1386--1394, 2014 | 4 | 2014 |
| Recherche d'information précise dans des sources d'information structurées et non structurées: défis, approches et hybridation. B Grau, AL Ligozat, M Gleize Revue TAL 56 (3), 2015 | 2 | 2015 |
| Implication textuelle: problèmes et méthodes pour le TAL B Grau, M Gleize Langages 212 (4), 105-122, 2018 | 1 | 2018 |
| Apprentissage d'inférences par édition d'arbres pour répondre à des questions B Grau, M Gleize Conférence en Recherche d'Information et Applications, 685-700, 2016 | 1 | 2016 |
| Noyaux de réécriture de phrases munis de types lexico-sémantiques M Gleize, B Grau TALN 2015, 2015 | 1 | 2015 |
| Precise information retrieval in structured and unstructured information sources: Challenges, approaches and hybridization B Grau, AL Ligozat, M Gleize Traitement Automatique des Langues 56 (3), 75-99, 2015 | 1 | 2015 |
| Computer application content detection and feedback D Ganguly, M Gleize, P Tommasi, F Bonin, HOU Yufang US Patent App. 16/948,287, 2022 | | 2022 |
Brigitte GrauLIMSI-CNRS FranceVerified email at limsi.fr
