Dissertation/Thesis Abstract

Identifying and Ordering Scalar Adjectives Using Lexical Substitution
by Wilkinson, Bryan, Ph.D., University of Maryland, Baltimore County, 2017, 151; 10623407
Abstract (Summary)

Lexical semantics provides many important resources in natural language processing, despite the recent preferences for distributional methods. In this dissertation we investigate an under-represented lexical relationship, that of scalarity. We define scalarity as it relates to adjectives and introduce novel methods to identify words belonging to a particular scale and to order those words once they are found. This information has important uses in both traditional linguistics as well as natural language processing. We focus on solving both these problems using lexical substitution, a technique that allows us to determine the best substitute word for a given word in a sentence. We also produce two new datasets: a gold standard of scalar adjectives for use in the development and evaluation of methods like the ones introduces here, and a test set of indirect question-answer pairs, one possible application of scalar adjectives.

Indexing (document details)
Advisor: Oates, James T.
Commitee: Diab, Mona, Finin, Tim, Nicholas, Charles, Pan, Shimei
School: University of Maryland, Baltimore County
Department: Computer Science
School Location: United States -- Maryland
Source: DAI-B 79/03(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Linguistics, Computer science
Keywords: Adjective, Cultural consensus theory, Lexical substition, Scalar adjectives
Publication Number: 10623407
ISBN: 9780355542691
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