2 code implementations • 1 Oct 2020 • Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth
A desirable property of a reference-based evaluation metric that measures the content quality of a summary is that it should estimate how much information that summary has in common with a reference.
3 code implementations • NeurIPS 2020 • Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy, Dustin Tran, Tania Bedrax-Weiss, Balaji Lakshminarayanan
Bayesian neural networks (BNN) and deep ensembles are principled approaches to estimate the predictive uncertainty of a deep learning model.
1 code implementation • NeurIPS 2020 • Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen
We address this problem with a novel QE method that is more faithful to deductive reasoning, and show that this leads to better performance on complex queries to incomplete KBs.
1 code implementation • ACL 2019 • Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth
Most current NLP systems have little knowledge about quantitative attributes of objects and events.
no code implementations • IJCNLP 2019 • Haitian Sun, Tania Bedrax-Weiss, William W. Cohen
We focus on a setting in which a corpus is supplemented with a large but incomplete KB, and on questions that require non-trivial (e. g., ``multi-hop'') reasoning.
no code implementations • 15 Jan 2019 • Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen
Current state-of-the-art question answering models reason over an entire passage, not incrementally.
no code implementations • WS 2018 • Jason Baldridge, Tania Bedrax-Weiss, Daphne Luong, Srini Narayanan, Bo Pang, Fernando Pereira, Radu Soricut, Michael Tseng, Yuan Zhang