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Emma Strubell
Emma Strubell
Assistant Professor, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Energy and policy considerations for deep learning in NLP
E Strubell, A Ganesh, A McCallum
arXiv preprint arXiv:1906.02243, 2019
28542019
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
547*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
4562018
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
3172020
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
3012018
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
1632017
Aligning artificial intelligence with climate change mitigation
LH Kaack, PL Donti, E Strubell, G Kamiya, F Creutzig, D Rolnick
Nature Climate Change 12 (6), 518-527, 2022
1282022
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
1182015
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
1102020
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
1032019
Measuring the carbon intensity of AI in cloud instances
J Dodge, T Prewitt, R Tachet des Combes, E Odmark, R Schwartz, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
922022
An empirical investigation of the role of pre-training in lifelong learning
SV Mehta, D Patil, S Chandar, E Strubell
Journal of Machine Learning Research 24 (214), 1-50, 2023
562023
An introduction to quantum algorithms
E Strubell
542011
A survey of active learning for natural language processing
Z Zhang, E Strubell, E Hovy
arXiv preprint arXiv:2210.10109, 2022
472022
Efficient methods for natural language processing: A survey
M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ...
Transactions of the Association for Computational Linguistics 11, 826-860, 2023
452023
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
442017
Improving compositional generalization with self-training for data-to-text generation
SV Mehta, J Rao, Y Tay, M Kale, AP Parikh, E Strubell
arXiv preprint arXiv:2110.08467, 2021
232021
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
222018
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
202015
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
192015
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