Search Results for author: Tania Bedrax-Weiss

Found 7 papers, 4 papers with code

Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary

2 code implementations1 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.

Question Answering

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

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.

Faithful Embeddings for Knowledge Base Queries

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.

Question Answering

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

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.

Open-Domain Question Answering Retrieval

Incremental Reading for Question Answering

no code implementations15 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.

Continual Learning Question Answering

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