Emma Strubell
Emma Strubell
Assistant Professor, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Cited by
Cited by
Energy and policy considerations for deep learning in NLP
E Strubell, A Ganesh, A McCallum
arXiv preprint arXiv:1906.02243, 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
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
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
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
Machine-learned and codified synthesis parameters of oxide materials
E Kim, K Huang, A Tomala, S Matthews, E Strubell, A Saunders, ...
Scientific data 4, 170127, 2017
An introduction to quantum algorithms
E Strubell
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
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
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
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
Multi-Task Learning For Parsing The Alexa Meaning Representation Language.
V Perera, T Chung, T Kollar, E Strubell
AAAI, 5390-5397, 2018
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
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
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
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
Dependency parsing with dilated iterated graph cnns
E Strubell, A McCallum
arXiv preprint arXiv:1705.00403, 2017
An epidemiological model of internet worms with hierarchical dispersal and spatial clustering of hosts
DE Hiebeler, A Audibert, E Strubell, IJ Michaud
Journal of Theoretical Biology 418, 8-15, 2017
Minimally Supervised Event Argument Extraction using Universal Schema
B Roth, E Strubell, K Silverstein, A McCallum
Neural Information Processing Systems (NIPS) Workshop on Automatic Knowledge …, 2014
Energy and Policy Considerations for Modern Deep Learning Research.
E Strubell, A Ganesh, A McCallum
AAAI, 13693-13696, 2020
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