Daniel Andor

24 papers A* 4Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A* conf
Learning to Reject with a Fixed Predictor: Application to Decontextualization.
ICLR
Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
2023 J jnl
Learning to Reject with a Fixed Predictor: Application to Decontextualization.
CoRR
Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins
2023 J jnl
Scaling Up Models and Data with t5x and seqio.
J. Mach. Learn. Res.
Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, 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, Kehang Han, Michelle Casbon, 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
2022 J jnl
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.
CoRR
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
2022 J jnl
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model.
CoRR
Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, David Mimno
2022 J jnl
Scaling Up Models and Data with t5x and seqio.
CoRR
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
2021 J jnl
QED: A Framework and Dataset for Explanations in Question Answering.
Trans. Assoc. Comput. Linguistics
Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins
2020 J jnl
QED: A Framework and Dataset for Explanations in Question Answering.
CoRR
Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins
2019 — conf
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension.
EMNLP/IJCNLP (1)
Daniel Andor, Luheng He, Kenton Lee, Emily Pitler
2019 J jnl
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension.
CoRR
Daniel Andor, Luheng He, Kenton Lee, Emily Pitler
2019 — conf
Measuring Domain Portability and Error Propagation in Biomedical QA.
PKDD/ECML Workshops (2)
Stefan Hosein, Daniel Andor, Ryan T. McDonald
2019 J jnl
Measuring Domain Portability and ErrorPropagation in Biomedical QA.
CoRR
Stefan Hosein, Daniel Andor, Ryan T. McDonald
2019 — conf
Synthetic QA Corpora Generation with Roundtrip Consistency.
ACL (1)
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins
2019 J jnl
Synthetic QA Corpora Generation with Roundtrip Consistency.
CoRR
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins
2018 A* conf
A Challenge Set and Methods for Noun-Verb Ambiguity.
EMNLP
Ali El-Kahky, Kellie Webster, Daniel Andor, Emily Pitler
2018 A* conf
Linguistically-Informed Self-Attention for Semantic Role Labeling.
EMNLP
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum
2018 J jnl
Linguistically-Informed Self-Attention for Semantic Role Labeling.
CoRR
Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum
2018 — conf
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings.
ACL (1)
Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez
2018 J jnl
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings.
CoRR
Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez
2017 J jnl
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks.
CoRR
Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, David Weiss
2017 J jnl
SyntaxNet Models for the CoNLL 2017 Shared Task.
CoRR
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
2016 — conf
Globally Normalized Transition-Based Neural Networks.
ACL (1)
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
2016 J jnl
Globally Normalized Transition-Based Neural Networks.
CoRR
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
2016 A* conf
Real-time loop closure in 2D LIDAR SLAM.
ICRA
Wolfgang Hess, Damon Kohler, Holger Rapp, Daniel Andor