Daniel Andor

According to our database, Daniel Andor authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Learning to Reject with a Fixed Predictor: Application to Decontextualization.

Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins

CoRR, 2023

2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model.

Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno

CoRR, 2022

Scaling Up Models and Data with t5x and seqio.

Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo

CoRR, 2022

2021

QED: A Framework and Dataset for Explanations in Question Answering.

Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins

Trans. Assoc. Comput. Linguistics, 2021

2019

Measuring Domain Portability and ErrorPropagation in Biomedical QA.

Stefan Hosein, Daniel Andor, Ryan T. McDonald

CoRR, 2019

Measuring Domain Portability and Error Propagation in Biomedical QA.

Stefan Hosein, Daniel Andor, Ryan T. McDonald

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension.

Daniel Andor, Luheng He, Kenton Lee, Emily Pitler

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Synthetic QA Corpora Generation with Roundtrip Consistency.

Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

A Challenge Set and Methods for Noun-Verb Ambiguity.

Ali El-Kahky, Kellie Webster, Daniel Andor, Emily Pitler

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

Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings.

Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 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

2016

Real-time loop closure in 2D LIDAR SLAM.

Wolfgang Hess, Damon Kohler, Holger Rapp, Daniel Andor

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 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