소장자료
| LDR | 02099cam a2200000 a | ||
| 001 | 0100439833▲ | ||
| 005 | 20191129140257▲ | ||
| 007 | ta ▲ | ||
| 008 | 181214s2019 mau b 001 0 eng c▲ | ||
| 020 | ▼a9780262042840 (hbk.)▲ | ||
| 035 | ▼a(KERIS)REF000018874617▲ | ||
| 040 | ▼aDLC▼beng▼cDLC▼dDLC▼d221016▲ | ||
| 082 | 0 | 4 | ▼a006.3/5▼223▲ |
| 090 | ▼a006.35▼bE36i▲ | ||
| 100 | 1 | ▼aEisenstein, Jacob.▲ | |
| 245 | 1 | 0 | ▼aIntroduction to natural language processing /▼cJacob Eisenstein.▲ |
| 260 | ▼aCambridge :▼bThe MIT Press,▼c2019.▲ | ||
| 300 | ▼axiv, 519 p. ;▼c24 cm.▲ | ||
| 490 | 0 | ▼aAdaptive computation and machine learning▲ | |
| 504 | ▼aIncludes bibliographical references and index.▲ | ||
| 520 | ▼a"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--Provided by publisher.▲ | ||
| 650 | 0 | ▼aNatural language processing (Computer science)▲ |
Introduction to natural language processing
자료유형
국외단행본
서명/책임사항
Introduction to natural language processing / Jacob Eisenstein.
발행사항
Cambridge : The MIT Press , 2019.
형태사항
xiv, 519 p. ; 24 cm.
서지주기
Includes bibliographical references and index.
요약주기
"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--Provided by publisher.
ISBN
9780262042840 (hbk.)
청구기호
006.35 E36i
소장정보
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서서가에없는책 신고
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우우선정리신청
배자료배달신청
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