papers
Publications (13)
cs.CL2018
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
Emma Strubell, Andrew McCallum
cs.CL2015
Learning Dynamic Feature Selection for Fast Sequential Prediction
Emma Strubell, Luke Vilnis, Kate Silverstein +1
cs.CL2019
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Sheshera Mysore, Zach Jensen, Edward Kim +6
cs.CL2019
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh, Andrew McCallum
cs.CL2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell, Patrick Verga, David Belanger +1
cs.CL2017
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction
Patrick Verga, Emma Strubell, Ofer Shai +1
cs.CL2014
Training for Fast Sequential Prediction Using Dynamic Feature Selection
Emma Strubell, Luke Vilnis, Andrew McCallum
cs.CL2018
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
Patrick Verga, Emma Strubell, Andrew McCallum
cs.CL2017
Dependency Parsing with Dilated Iterated Graph CNNs
Emma Strubell, Andrew McCallum
cs.CL2016
Multilingual Relation Extraction using Compositional Universal Schema
Patrick Verga, David Belanger, Emma Strubell +2
cs.CL2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell, Patrick Verga, Daniel Andor +2
cond-mat.mtrl-sci2019
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
Edward Kim, Zach Jensen, Alexander van Grootel +8
cs.CL2017
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures
Sheshera Mysore, Edward Kim, Emma Strubell +6