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05/23/2023
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders
Neural document rerankers are extremely effective in terms of accuracy. ...
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05/23/2023
Evaluating and Modeling Attribution for Cross-Lingual Question Answering
Trustworthy answer content is abundant in many high-resource languages a...
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03/31/2022
Scaling Up Models and Data with and
Recent neural network-based language models have benefited greatly from ...
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12/01/2020
Evaluating Explanations: How much do explanations from the teacher aid students?
While many methods purport to explain predictions by highlighting salien...
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09/08/2020
QED: A Framework and Dataset for Explanations in Question Answering
A question answering system that in addition to providing an answer prov...
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07/02/2020
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Massive language models are the core of modern NLP modeling and have bee...
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05/28/2020
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
In this work, we present an entity linking model which combines a Transf...
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04/24/2020
Collecting Entailment Data for Pretraining: New Protocols and Negative Results
Textual entailment (or NLI) data has proven useful as pretraining data f...
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04/15/2020
Entities as Experts: Sparse Memory Access with Entity Supervision
We focus on the problem of capturing declarative knowledge in the learne...
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01/11/2020
Learning Cross-Context Entity Representations from Text
Language modeling tasks, in which words, or word-pieces, are predicted o...
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06/07/2019