David Weiss

According to our database, David Weiss authored at least 13 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Scene Transformer: A unified multi-task model for behavior prediction and planning.

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

CoRR, 2021

2020

Learning Cross-Context Entity Representations from Text.

Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski

CoRR, 2020

2018

Adversarial Neural Networks for Cross-lingual Sequence Tagging.

Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn

CoRR, 2018

A Fast, Compact, Accurate Model for Language Identification of Codemixed Text.

Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Linguistically-Informed Self-Attention for Semantic Role Labeling.

Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

State-of-the-art Chinese Word Segmentation with Bi-LSTMs.

Ji Ma, Kuzman Ganchev, David Weiss

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks.

Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, David Weiss

CoRR, 2017

SyntaxNet Models for the CoNLL 2017 Shared Task.

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

CoRR, 2017

Natural Language Processing with Small Feed-Forward Networks.

Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Stack-propagation: Improved Representation Learning for Syntax.

Yuan Zhang, David Weiss

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Globally Normalized Transition-Based Neural Networks.

Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Improved Transition-Based Parsing and Tagging with Neural Networks.

Chris Alberti, David Weiss, Greg Coppola, Slav Petrov

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Structured Training for Neural Network Transition-Based Parsing.

David Weiss, Chris Alberti, Michael Collins, Slav Petrov

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015