2019
ACL
ACL 2019
Ranking of Potential Questions
Abstract
AbstractQuestions are an integral part of discourse. They provide structure and support the exchange of information. One linguistic theory, the Questions Under Discussion model, takes question structures as integral to the functioning of a coherent discourse. This theory has not been tested on the count of its validity for predicting observations in real dialogue data, however. In this submission, a system for ranking explicit and implicit questions by their appropriateness in a dialogue is presented. This system implements constraints and principles put forward in the linguistic literature.
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Interdisciplinary Bridge
— Artificial Intelligence and Computer Science and Machine Learning and Natural Language Processing
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Keyword Pioneer
— implicit question
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Applications > Question Answering
Computer Science > Applications > Information Retrieval
Machine Learning > Core Methods > Ranking
Natural Language Processing > Understanding > Natural Language Inference
Machine Learning > Learning Types > Ranking
Artificial Intelligence > Core AI > Natural Language Processing
Artificial Intelligence > Core AI > Dialogue Systems