| Findings of the 2021 conference on machine translation (WMT21) A Farhad, A Arkady, B Magdalena, B Ondřej, C Rajen, C Vishrav, ... Proceedings of the Sixth Conference on Machine Translation, 1-88, 2021 | 162 | 2021 |
| Findings of the IWSLT 2020 evaluation campaign E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ... Proceedings of the 17th International Conference on Spoken Language …, 2020 | 127 | 2020 |
| Parallel corpus filtering via pre-trained language models B Zhang, A Nagesh, K Knight arXiv preprint arXiv:2005.06166, 2020 | 30 | 2020 |
| Eidos, INDRA, & Delphi: from free text to executable causal models R Sharp, A Pyarelal, B Gyori, K Alcock, E Laparra, ... Proceedings of the 2019 conference of the north American chapter of the …, 2019 | 28 | 2019 |
| Wisdom of students: A consistent automatic short answer grading technique S Roy, S Dandapat, A Nagesh, Y Narahari Proceedings of the 13th International Conference on Natural Language …, 2016 | 26 | 2016 |
| Lightly-supervised representation learning with global interpretability A Zupon, M Alexeeva, M Valenzuela-Escárcega, A Nagesh, M Surdeanu Proceedings of the third workshop on structured prediction for NLP, 18-28, 2019 | 17 | 2019 |
| Towards Efficient Named-Entity Rule Induction for Customizability A Nagesh, G Ramakrishnan, L Chiticariu, R Krishnamurthy, A Dharkar, ... EMNLP 57, 88.95, 2012 | 17 | 2012 |
| Exploration of noise strategies in semi-supervised named entity classification PL Narayan The University of Arizona, 2019 | 15 | 2019 |
| Noisy or-based model for relation extraction using distant supervision A Nagesh, G Haffari, G Ramakrishnan Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 14 | 2014 |
| Semi-supervised teacher-student architecture for relation extraction F Luo, A Nagesh, R Sharp, M Surdeanu Proceedings of the third workshop on structured prediction for NLP, 29-37, 2019 | 10 | 2019 |
| Lightly-supervised Representation Learning with Global Interpretability MA Valenzuela-Escárcega, A Nagesh, M Surdeanu https://arxiv.org/abs/1805.11545, 2018 | 10 | 2018 |
| Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. HS Chang, A Munir, A Liu, JTZ Wei, A Traylor, A Nagesh, N Monath, ... TAC, 2016 | 10 | 2016 |
| Evaluation of hindi to english, marathi to english and english to hindi clir at fire 2008 N Padariya, M Chinnakotla, A Nagesh, OP Damani Working Notes of Forum for Information Retrieval and Evaluation (FIRE), 2008 | 9* | 2008 |
| Visual supervision in bootstrapped information extraction M Berger, A Nagesh, J Levine, M Surdeanu, H Zhang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 8 | 2018 |
| Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift A Nagesh, M Surdeanu Conference of the North American Chapter of the Association for …, 2018 | 7 | 2018 |
| Grounding gradable adjectives through crowdsourcing R Sharp, M Paul, A Nagesh, D Bell, M Surdeanu Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 7 | 2018 |
| An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification A Nagesh, M Surdeanu The 27th International Conference on Computational Linguistics (COLING 2018), 2018 | 5 | 2018 |
| MeetDot: Videoconferencing with live translation captions A Arkhangorodsky, C Chu, S Fang, Y Huang, D Jiang, A Nagesh, B Zhang, ... arXiv preprint arXiv:2109.09577, 2021 | 4 | 2021 |
| Probing the space of optimal markov logic networks for sequence labeling N Nair, A Nagesh, G Ramakrishnan International Conference on Inductive Logic Programming, 193-208, 2012 | 4 | 2012 |
| Call for discussion: Building a new standard dataset for relation extraction tasks MT Martín-Valdivia, F Botschen, A Nagesh, A McCallum Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 92-96, 2016 | 3 | 2016 |
Mihai SurdeanuAssociate Professor, Computer Science, University of Arizona在 email.arizona.edu 的电子邮件经过验证
