no code implementations • FEVER (ACL) 2022 • James Ferguson, Hannaneh Hajishirzi, Pradeep Dasigi, Tushar Khot
Training retrieval models to fetch contexts for Question Answering (QA) over large corpora requires labeling relevant passages in those corpora.
no code implementations • EMNLP 2020 • James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
However, most existing reading comprehension (RC) tasks only focus on questions for which the contexts provide all the information required to answer them, thus not evaluating a system's performance at identifying a potential lack of sufficient information and locating sources for that information.
no code implementations • NAACL 2018 • James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi
Supervised event extraction systems are limited in their accuracy due to the lack of available training data.
no code implementations • EMNLP 2018 • James Ferguson, Janara Christensen, Edward Li, Edgar Gonzàlez
When the semantics of a sentence are not representable in a semantic parser's output schema, parsing will inevitably fail.