| Energy and policy considerations for deep learning in NLP E Strubell, A Ganesh, A McCallum arXiv preprint arXiv:1906.02243, 2019 | 1333 | 2019 |
| Fast and accurate entity recognition with iterated dilated convolutions E Strubell, P Verga, D Belanger, A McCallum Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 371* | 2017 |
| Linguistically-Informed Self-Attention for Semantic Role Labeling E Strubell, P Verga, D Andor, D Weiss, A McCallum Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 329 | 2018 |
| Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction P Verga, E Strubell, A McCallum Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 217 | 2018 |
| Machine-learned and codified synthesis parameters of oxide materials E Kim, K Huang, A Tomala, S Matthews, E Strubell, A Saunders, ... Scientific data 4 (1), 1-9, 2017 | 105 | 2017 |
| Multilingual relation extraction using compositional universal schema P Verga, D Belanger, E Strubell, B Roth, A McCallum Proceedings of the 2016 Conference of the North American Chapter of the …, 2015 | 104 | 2015 |
| Energy and policy considerations for modern deep learning research E Strubell, A Ganesh, A McCallum Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13693 …, 2020 | 65 | 2020 |
| Inorganic materials synthesis planning with literature-trained neural networks E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ... Journal of chemical information and modeling 60 (3), 1194-1201, 2020 | 57 | 2020 |
| The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures S Mysore, Z Jensen, E Kim, K Huang, HS Chang, E Strubell, J Flanigan, ... arXiv preprint arXiv:1905.06939, 2019 | 51 | 2019 |
| An introduction to quantum algorithms E Strubell | 45 | 2011 |
| Automatically extracting action graphs from materials science synthesis procedures S Mysore, E Kim, E Strubell, A Liu, HS Chang, S Kompella, K Huang, ... arXiv preprint arXiv:1711.06872, 2017 | 26 | 2017 |
| Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. B Roth, N Monath, D Belanger, E Strubell, P Verga, A McCallum TAC, 2015 | 19 | 2015 |
| Learning dynamic feature selection for fast sequential prediction E Strubell, L Vilnis, K Silverstein, A McCallum Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 18 | 2015 |
| Multi-task learning for parsing the alexa meaning representation language V Perera, T Chung, T Kollar, E Strubell Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 16 | 2018 |
| Dependency parsing with dilated iterated graph cnns E Strubell, A McCallum arXiv preprint arXiv:1705.00403, 2017 | 10 | 2017 |
| Attending to all mention pairs for full abstract biological relation extraction P Verga, E Strubell, O Shai, A McCallum arXiv preprint arXiv:1710.08312, 2017 | 9 | 2017 |
| 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 | 9 | 2016 |
| Syntax helps elmo understand semantics: is syntax still relevant in a deep neural architecture for srl? E Strubell, A McCallum arXiv preprint arXiv:1811.04773, 2018 | 6 | 2018 |
| An empirical investigation of the role of pre-training in lifelong learning SV Mehta, D Patil, S Chandar, E Strubell arXiv preprint arXiv:2112.09153, 2021 | 4 | 2021 |
| Aligning artificial intelligence with climate change mitigation L Kaack, P Donti, E Strubell, G Kamiya, F Creutzig, D Rolnick | 4 | 2021 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstПотвърден имейл адрес: cs.umass.edu
