Reasoning and Learning in Interactive Natural Language Systems

dc.contributor.authorSuhr, Alane
dc.contributor.chairArtzi, Yoaven_US
dc.contributor.committeeMemberNaaman, Moren_US
dc.contributor.committeeMemberSnavely, Keithen_US
dc.date.accessioned2023-03-31T16:38:18Z
dc.date.issued2022-12
dc.description264 pagesen_US
dc.description.abstractSystems that support expressive, situated natural language interactions are essential for expanding access to complex computing systems, such as robots and databases, to non-experts. Reasoning and learning in such natural language interactions is a challenging open problem. For example, resolving sentence meaning requires reasoning not only about word meaning, but also about the interaction context, including the history of the interaction and the situated environment. In addition, the sequential dynamics that arise between user and system in and across interactions make learning from static data, i.e., supervised data, both challenging and ineffective. However, these same interaction dynamics result in ample opportunities for learning from implicit and explicit feedback that arises naturally in the interaction. This lays the foundation for systems that continually learn, improve, and adapt their language use through interaction, without additional annotation effort. This thesis will focus on these challenges and opportunities.en_US
dc.identifier.doihttps://doi.org/10.7298/5hyz-cx31
dc.identifier.otherSuhr_cornellgrad_0058_13391
dc.identifier.otherhttp://dissertations.umi.com/cornellgrad:13391
dc.identifier.urihttps://hdl.handle.net/1813/112985
dc.language.isoen
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectcomputer visionen_US
dc.subjectlanguage groundingen_US
dc.subjectmachine learningen_US
dc.subjectnatural language processingen_US
dc.titleReasoning and Learning in Interactive Natural Language Systemsen_US
dc.typedissertation or thesisen_US
dcterms.licensehttps://hdl.handle.net/1813/59810.2
thesis.degree.disciplineComputer Science
thesis.degree.grantorCornell University
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh. D., Computer Science
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