Learning to paraphrase for question answering
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Learning to paraphrase for question answering
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NettetACL Anthology - ACL Anthology NettetQuestion answering (QA) systems are sensitive to the many different ways natural language expresses the same information need. In this paper we turn to paraphrases as a means of capturing this knowledge and …
NettetMay 2024 - Present1 year. Cambridge, Massachusetts, United States. Leading the teams in Microsoft's advanced AI development … Nettet1. jan. 2024 · Question answering (QA) systems are sensitive to the many different ways natural language expresses the same information need. In this paper we turn to …
Nettet7. jul. 2024 · Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, and Caiming Xiong. 2024. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. In ICLR. Google Scholar; Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2024. Reading Wikipedia to Answer Open-Domain Questions. Nettet6. jan. 2007 · Question paraphrasing is critical in many Natural Language Processing ... 2003} Regina Barzilay and Lillian Lee. Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment. In ... 2001} Dekang Lin and Patrick Pantel. Discovery of Inference Rules for Question Answering. In Natural Language …
Nettet11. jul. 2024 · Fréderic Godin, Anjishnu Kumar, and Arpit Mittal. 2024. Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning Based Question Answering. In NAACL-HLT. Google Scholar; Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, and Jian Yin. 2024. Dialog-to-action: Conversational question answering over a …
Nettetused with a deep learning-based question para-phrasing method utilizing variational autoen-coder and LSTM encoder/decoder. The ulti-mate use of such a method is to improve the performance of automatic question answering methods for EHRs. 1 Introduction The useful information present in electronic health records (EHRs) is hard … middlesex family physicians prohealthNettet18. okt. 2024 · Download Citation Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering Most Outside-Knowledge Visual Question … middlesex family practice old saybrookNettetBy Rohit Kumar Singh. Question-Answering Models are machine or deep learning models that can answer questions given some context, and sometimes without any context (e.g. open-domain QA). They can extract answer phrases from paragraphs, paraphrase the answer generatively, or choose one option out of a list of given … middlesex fells acresNettet7. apr. 2024 · fader-etal-2013-paraphrase. Cite (ACL): Anthony Fader, Luke Zettlemoyer, and Oren Etzioni. 2013. Paraphrase-Driven Learning for Open Question Answering. … newspapers grand rapidsNettet1. jan. 2024 · We study question answering as a machine learning problem, and induce a function that maps open-domain questions to queries over a database of web extractions. ... question-paraphrase corpus, ... newspapers gossipNettetQuestion Answering. 1968 papers with code • 123 benchmarks • 332 datasets. Question Answering is the task of answering questions (typically reading comprehension questions), but abstaining when presented with a question that cannot be answered based on the provided context. Question answering can be segmented into domain … middlesex family medicine residencyNettet20. aug. 2024 · A question and its paraphrases serve as input to a neural scoring model which assigns higher weights to linguistic expressions most likely to yield correct … middlesex federal credit union middletown ct