| Abusive language detection in online user content C Nobata, J Tetreault, A Thomas, Y Mehdad, Y Chang Proceedings of the 25th international conference on world wide web, 145-153, 2016 | 1455 | 2016 |
| Do characters abuse more than words? Y Mehdad, J Tetreault Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 251 | 2016 |
| Abstractive summarization of product reviews using discourse structure S Gerani, Y Mehdad, G Carenini, R Ng, B Nejat Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 251 | 2014 |
| Llm-qat: Data-free quantization aware training for large language models Z Liu, B Oguz, C Zhao, E Chang, P Stock, Y Mehdad, Y Shi, ... arXiv preprint arXiv:2305.17888, 2023 | 250 | 2023 |
| Combining intra-and multi-sentential rhetorical parsing for document-level discourse analysis S Joty, G Carenini, R Ng, Y Mehdad Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 204 | 2013 |
| Effective long-context scaling of foundation models W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ... arXiv preprint arXiv:2309.16039, 2023 | 199 | 2023 |
| MTOP: A comprehensive multilingual task-oriented semantic parsing benchmark H Li, A Arora, S Chen, A Gupta, S Gupta, Y Mehdad arXiv preprint arXiv:2008.09335, 2020 | 165 | 2020 |
| Efficient one-pass end-to-end entity linking for questions BZ Li, S Min, S Iyer, Y Mehdad, W Yih arXiv preprint arXiv:2010.02413, 2020 | 151 | 2020 |
| Unik-qa: Unified representations of structured and unstructured knowledge for open-domain question answering B Oguz, X Chen, V Karpukhin, S Peshterliev, D Okhonko, M Schlichtkrull, ... arXiv preprint arXiv:2012.14610, 2020 | 130 | 2020 |
| A template-based abstractive meeting summarization: Leveraging summary and source text relationships T Oya, Y Mehdad, G Carenini, R Ng Proceedings of the 8th International Natural Language Generation Conference …, 2014 | 122 | 2014 |
| Improving zero and few-shot abstractive summarization with intermediate fine-tuning and data augmentation AR Fabbri, S Han, H Li, H Li, M Ghazvininejad, S Joty, D Radev, ... arXiv preprint arXiv:2010.12836, 2020 | 113 | 2020 |
| Divide and conquer: Crowdsourcing the creation of cross-lingual textual entailment corpora M Negri, L Bentivogli, Y Mehdad, D Giampiccolo, A Marchetti Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 104 | 2011 |
| Low-resource domain adaptation for compositional task-oriented semantic parsing X Chen, A Ghoshal, Y Mehdad, L Zettlemoyer, S Gupta arXiv preprint arXiv:2010.03546, 2020 | 100 | 2020 |
| How to train your dragon: Diverse augmentation towards generalizable dense retrieval SC Lin, A Asai, M Li, B Oguz, J Lin, Y Mehdad, W Yih, X Chen arXiv preprint arXiv:2302.07452, 2023 | 92 | 2023 |
| Lightweight multilingual entity extraction and linking A Pappu, R Blanco, Y Mehdad, A Stent, K Thadani Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 91 | 2017 |
| Abstractive meeting summarization with entailment and fusion Y Mehdad, G Carenini, F Tompa, R Ng Proceedings of the 14th European Workshop on Natural Language Generation …, 2013 | 86 | 2013 |
| Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021 | 78 | 2021 |
| Towards cross-lingual textual entailment Y Mehdad, M Negri, M Federico Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 73 | 2010 |
| ConvoSumm: Conversation summarization benchmark and improved abstractive summarization with argument mining AR Fabbri, F Rahman, I Rizvi, B Wang, H Li, Y Mehdad, D Radev arXiv preprint arXiv:2106.00829, 2021 | 72 | 2021 |
| CONFIT: Toward faithful dialogue summarization with linguistically-informed contrastive fine-tuning X Tang, A Nair, B Wang, B Wang, J Desai, A Wade, H Li, A Celikyilmaz, ... arXiv preprint arXiv:2112.08713, 2021 | 71 | 2021 |
Matteo NegriFondazione Bruno Kessler - FBK-irst, Trento, ItalyEmail được xác minh tại fbk.eu