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Semi-supervised dependency parsing [electronic resource]

자료유형

E-Book(소장)

개인저자

Chen, Wenliang. Zhang, Min.

서명 / 저자사항

Semi-supervised dependency parsing [electronic resource] / Wenliang Chen, Min Zhang.

발행사항

Singapore : Springer Singapore : Imprint: Springer, 2015.

형태사항

1 online resource (viii, 144 p.) : ill. (some col.).

ISBN

9789812875525

요약

This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing.

일반주기

Issued also as a book.

내용주기

1 Introduction -- 2 Dependency Parsing Models -- 3 Overview of Semi-supervised Dependency Parsing Approaches -- 4 Training with Auto-parsed Whole Trees -- 5 Training with Lexical Information -- 6 Training with Bilexical Dependencies -- 7 Training with Subtree Structures -- 8 Training with Dependency Language Models -- 9 Training with Meta Features -- 10 Closing Remarks.

서지주기

Includes bibliographical references.

이용가능한 다른형태자료

Issued also as a book.

일반주제명

Natural language processing (Computer science). Grammar, Comparative and general|xParsing. Mathematical linguistics. Dependency grammar.

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100	1	▼a Chen, Wenliang.
245	1 0	▼a Semi-supervised dependency parsing ▼h [electronic resource] / ▼c Wenliang Chen, Min Zhang.
260		▼a Singapore : ▼b Springer Singapore : ▼b Imprint: Springer, ▼c 2015.
300		▼a 1 online resource (viii, 144 p.) : ▼b ill. (some col.).
504		▼a Includes bibliographical references.
505	0	▼a 1 Introduction -- 2 Dependency Parsing Models -- 3 Overview of Semi-supervised Dependency Parsing Approaches -- 4 Training with Auto-parsed Whole Trees -- 5 Training with Lexical Information -- 6 Training with Bilexical Dependencies -- 7 Training with Subtree Structures -- 8 Training with Dependency Language Models -- 9 Training with Meta Features -- 10 Closing Remarks.
520		▼a This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing.
530		▼a Issued also as a book.
538		▼a Mode of access: World Wide Web.
650	0	▼a Natural language processing (Computer science).
650	0	▼a Grammar, Comparative and general\|xParsing.
650	0	▼a Mathematical linguistics.
650	0	▼a Dependency grammar.
700	1	▼a Zhang, Min.
856	4 0	▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-981-287-552-5
945		▼a KLPA
991		▼a E-Book(소장)

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No.	소장처	청구기호	등록번호	도서상태	반납예정일	예약	서비스
No. 1	소장처 중앙도서관/e-Book 컬렉션/	청구기호 CR 006.35	등록번호 E14030466	도서상태 대출불가(열람가능)	반납예정일	예약	서비스 M

Semi-supervised dependency parsing [electronic resource]

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