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An expectation model of referring expressions

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dc.contributor Edward Gibson.
dc.contributor Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.
dc.contributor Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.
dc.creator Kræmer, John, Ph. D. Massachusetts Institute of Technology
dc.date 2011-04-04T16:16:13Z
dc.date 2011-04-04T16:16:13Z
dc.date 2010
dc.date 2010
dc.identifier http://hdl.handle.net/1721.1/62046
dc.identifier 707634076
dc.description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2010.
dc.description Cataloged from PDF version of thesis.
dc.description Includes bibliographical references (p. 297-205).
dc.description This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. These include but are not limited to anaphora (references to noun phrases in previous sentences) and coherence predicates such as causality, temporal ordering and resemblance -- two domains that have typically been treated as entirely distinct aspects of language. EMRE is a computational-level model, and is agnostic about any particular algorithms, cognitive faculties, or neurological substrates that might be applied to the problem of semantic reference. Instead, it describes reference as a computational problem framed in terms of expectation and inference, and describes a solution to the problem based on rational top-down expectations about the likely targets of referring expressions, and on bottom-up feature-based matching that occurs when a referring expression is encountered. EMRE is used to derive novel empirical predictions about how people will construe particular discourse constructions involving NP anaphora and coherence predicates. These predictions are tested in controlled behavioral experiments, in which participants read and answer questions about short texts. The results of these experiments are shown to be consistent with a model of reference as an expectation-based computational structure with different underlying rules than those governing syntactic processing.
dc.description by John Kræmer.
dc.description Ph.D.
dc.format 205 p.
dc.format application/pdf
dc.language eng
dc.publisher Massachusetts Institute of Technology
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
dc.rights http://dspace.mit.edu/handle/1721.1/7582
dc.subject Brain and Cognitive Sciences.
dc.title An expectation model of referring expressions
dc.title EMRE
dc.type Thesis


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