Neural document rerankers are extremely effective in terms of accuracy.
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Trustworthy answer content is abundant in many high-resource languages a...
We present an instance-based nearest neighbor approach to entity linking...
Models for question answering, dialogue agents, and summarization often
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We review the EfficientQA competition from NeurIPS 2020. The competition...
In this work, we present an entity linking model which combines a Transf...
We focus on the problem of capturing declarative knowledge in the learne...
Confidently making progress on multilingual modeling requires challengin...
Language modeling tasks, in which words, or word-pieces, are predicted o...
Existing open-domain question answering (QA) models are not suitable for...
General purpose relation extractors, which can model arbitrary relations...
In this paper we study yes/no questions that are naturally occurring ---...
Any system which performs goal-directed continual learning must not only...
The current trend of extractive question answering (QA) heavily relies o...
Reading comprehension is a challenging task, especially when executed ac...
The reading comprehension task, that asks questions about a given eviden...