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ORCIDDavid Weiss 0001
Person information
- affiliation: Google Inc., New York, NY, USA
- affiliation: Princeton University, Computational Memory Lab, NJ, USA
- affiliation (PhD 2014): University of Pennsylvania, Philadelphia, PA, USA
Other persons with the same name
- David Weiss — disambiguation page
- David Weiss 0002 — Saarland University, Department of Computer Science, Saarbrücken, Germany
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2020 – today
- 2021
[i12]Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens:
Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR abs/2106.08417 (2021)- 2020
- [i11]Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski:
Learning Cross-Context Entity Representations from Text. CoRR abs/2001.03765 (2020)
2010 – 2019
- 2018
- [c8]Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss:
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. EMNLP 2018: 328-337 - [c7]Ji Ma, Kuzman Ganchev, David Weiss:
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. EMNLP 2018: 4902-4908 - [c6]Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum:
Linguistically-Informed Self-Attention for Semantic Role Labeling. EMNLP 2018: 5027-5038 - [i10]Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum:
Linguistically-Informed Self-Attention for Semantic Role Labeling. CoRR abs/1804.08199 (2018) - [i9]Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn:
Adversarial Neural Networks for Cross-lingual Sequence Tagging. CoRR abs/1808.04736 (2018) - [i8]Ji Ma, Kuzman Ganchev, David Weiss:
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. CoRR abs/1808.06511 (2018) - [i7]Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss:
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. CoRR abs/1810.04142 (2018) - 2017
- [c5]Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. EMNLP 2017: 2879-2885 - [i6]Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, David Weiss:
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks. CoRR abs/1703.04474 (2017) - [i5]Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss:
SyntaxNet Models for the CoNLL 2017 Shared Task. CoRR abs/1703.04929 (2017) - [i4]Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. CoRR abs/1708.00214 (2017) - 2016
- [c4]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. ACL (1) 2016 - [c3]Yuan Zhang, David Weiss:
Stack-propagation: Improved Representation Learning for Syntax. ACL (1) 2016 - [i3]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. CoRR abs/1603.06042 (2016) - [i2]Yuan Zhang, David Weiss:
Stack-propagation: Improved Representation Learning for Syntax. CoRR abs/1603.06598 (2016) - 2015
- [c2]David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. ACL (1) 2015: 323-333 - [c1]Chris Alberti, David Weiss, Greg Coppola, Slav Petrov:
Improved Transition-Based Parsing and Tagging with Neural Networks. EMNLP 2015: 1354-1359 - [i1]David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. CoRR abs/1506.06158 (2015)
Coauthor Index
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