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1
Computational Analysis of Arguments and Persuasive Strategies in Political Discourse
Naderi, Nona. - 2020
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2
Exploiting Linguistic Knowledge in Lexical and Compositional Semantic Models
Wang, Tong. - 2017
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3
A Computational Model of the Acquisition of Mental State Verbs
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4
Automatic Text and Speech Processing for the Detection of Dementia
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5
Computational Modeling of Word Learning: The Role of Cognitive Processes
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6
Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text
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7
RST-style Discourse Parsing and Its Applications in Discourse Analysis
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8
Distributional Semantics for Robust Automatic Summarization
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9
Using Synchronized Audio Mapping to Predict Velar and Pharyngeal Wall Locations during Dynamic MRI Sequences
Rahimian, Pooya. - : East Carolina University, 2013
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10
A Computational Theory of the Use-Mention Distinction in Natural Language
Wilson, Shomir. - 2011
Abstract: To understand the language we use, we sometimes must turn language on itself, and we do this through an understanding of the use-mention distinction. In particular, we are able to recognize mentioned language: that is, tokens (e.g., words, phrases, sentences, letters, symbols, sounds) produced to draw attention to linguistic properties that they possess. Evidence suggests that humans frequently employ the use-mention distinction, and we would be severely handicapped without it; mentioned language frequently occurs for the introduction of new words, attribution of statements, explanation of meaning, and assignment of names. Moreover, just as we benefit from mutual recognition of the use-mention distinction, the potential exists for us to benefit from language technologies that recognize it as well. With a better understanding of the use-mention distinction, applications can be built to extract valuable information from mentioned language, leading to better language learning materials, precise dictionary building tools, and highly adaptive computer dialogue systems. This dissertation presents the first computational study of how the use-mention distinction occurs in natural language, with a focus on occurrences of mentioned language. Three specific contributions are made. The first is a framework for identifying and analyzing instances of mentioned language, in an effort to reconcile elements of previous theoretical work for practical use. Definitions for mentioned language, metalanguage, and quotation have been formulated, and a procedural rubric has been constructed for labeling instances of mentioned language. The second is a sequence of three labeled corpora of mentioned language, containing delineated instances of the phenomenon. The corpora illustrate the variety of mentioned language, and they enable analysis of how the phenomenon relates to sentence structure. Using these corpora, inter-annotator agreement studies have quantified the concurrence of human readers in labeling the phenomenon. The third contribution is a method for identifying common forms of mentioned language in text, using patterns in metalanguage and sentence structure. Although the full breadth of the phenomenon is likely to elude computational tools for the foreseeable future, some specific, common rules for detecting and delineating mentioned language have been shown to perform well.
Keyword: Artificial Intelligence; computational linguistics; Computer Science; dialog systems; Language; Linguistics; metalanguage; natural language processing
URL: http://hdl.handle.net/1903/11694
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11
A distributional and syntactic approach to fine-grained opinion mining
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12
The Circle of Meaning: From Translation to Paraphrasing and Back
Madnani, Nitin. - 2010
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13
Combining Linguistic and Machine Learning Techniques for Word Alignment Improvement
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14
Converting English text to speech : a machine learning approach
Bakiri, Ghulum. - : Oregon State University
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15
Hierarchical Bayesian Models of Verb Learning in Children
Parisien, Christopher. - NO_RESTRICTION
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16
Measuring Semantic Distance using Distributional Profiles of Concepts
Mohammad, Saif. - NO_RESTRICTION
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17
Computational Approaches to Style and the Lexicon
Brooke, Julian. - NO_RESTRICTION
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18
Exploiting Linguistic Knowledge to Infer Properties of Neologisms
Cook, C. Paul. - NO_RESTRICTION
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