Availability: Semi-Supervised Dependency Parsing | Technische Universität München

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Bibliographic Details
Main Authors:	Chen, Wenliang (Author), Zhang, Min (Author)
Format:	Electronic eBook
Language:	English
Published:	Singapore [u.a.] Springer Singapore 2015
Subjects:	Linguistics Computational linguistics Computational Linguistics Linguistik
Links:	https://doi.org/10.1007/978-981-287-552-5 https://doi.org/10.1007/978-981-287-552-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028161180&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028161180&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	1 Online-Ressource (VIII, 144 p. 61 illus., 13 illus. in color)
ISBN:	9789812875525
DOI:	10.1007/978-981-287-552-5

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Record in the Search Index

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adam_text	SEMI-SUPERVISED DEPENDENCY PARSING / CHEN, WENLIANG : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. SEMI-SUPERVISED DEPENDENCY PARSING / CHEN, WENLIANG : 2015 ABSTRACT / INHALTSTEXT 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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indexdate	2024-12-20T17:18:25Z
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publisher	Springer Singapore
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spellingShingle	Chen, Wenliang Zhang, Min Semi-Supervised Dependency Parsing Linguistics Computational linguistics Computational Linguistics Linguistik
title	Semi-Supervised Dependency Parsing
title_auth	Semi-Supervised Dependency Parsing
title_exact_search	Semi-Supervised Dependency Parsing
title_full	Semi-Supervised Dependency Parsing by Wenliang Chen, Min Zhang
title_fullStr	Semi-Supervised Dependency Parsing by Wenliang Chen, Min Zhang
title_full_unstemmed	Semi-Supervised Dependency Parsing by Wenliang Chen, Min Zhang
title_short	Semi-Supervised Dependency Parsing
title_sort	semi supervised dependency parsing
topic	Linguistics Computational linguistics Computational Linguistics Linguistik
topic_facet	Linguistics Computational linguistics Computational Linguistics Linguistik
url	https://doi.org/10.1007/978-981-287-552-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028161180&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028161180&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT chenwenliang semisuperviseddependencyparsing AT zhangmin semisuperviseddependencyparsing

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