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Identifying and Ordering Scalar Adje...

ProQuest Information and Learning Co.

Identifying and Ordering Scalar Adjectives Using Lexical Substitution.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Identifying and Ordering Scalar Adjectives Using Lexical Substitution./
作者:	Wilkinson, Bryan.
面頁冊數:	1 online resource (151 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355542691

Identifying and Ordering Scalar Adjectives Using Lexical Substitution.
Wilkinson, Bryan.

Identifying and Ordering Scalar Adjectives Using Lexical Substitution. - 1 online resource (151 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)--University of Maryland, Baltimore County, 2017.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355542691Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Identifying and Ordering Scalar Adjectives Using Lexical Substitution.
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500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Adviser: James T. Oates.
502 $a Thesis (Ph.D.)--University of Maryland, Baltimore County, 2017.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Linguistics. $3 557829
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0290
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Maryland, Baltimore County. $b Computer Science. $3 1179407
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