The Resource Anaphora Resolution : Algorithms, Resources, and Applications, edited by Massimo Poesio, Roland Stuckardt, Yannick Versley, (electronic resource)

Anaphora Resolution : Algorithms, Resources, and Applications, edited by Massimo Poesio, Roland Stuckardt, Yannick Versley, (electronic resource)

Label
Anaphora Resolution : Algorithms, Resources, and Applications
Title
Anaphora Resolution
Title remainder
Algorithms, Resources, and Applications
Statement of responsibility
edited by Massimo Poesio, Roland Stuckardt, Yannick Versley
Contributor
Editor
Editor
Subject
Language
eng
Summary
This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers
Member of
Dewey number
006.35
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • 6fNVK05Z0ZY
  • e46trzj-gf0
  • Jz1ci_egYlA
Image bit depth
0
LC call number
QA76.9.N38
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Poesio, Massimo.
  • Stuckardt, Roland.
  • Versley, Yannick.
Series statement
Theory and Applications of Natural Language Processing,
http://library.link/vocab/subjectName
  • Natural language processing (Computer science)
  • Computational linguistics
  • Natural Language Processing (NLP)
  • Computational Linguistics
Label
Anaphora Resolution : Algorithms, Resources, and Applications, edited by Massimo Poesio, Roland Stuckardt, Yannick Versley, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Preface -- 1.Introduction -- Part I Background -- 2.Linguistic and Cognitive Evidence About Anaphora -- 3. Early Approaches to Anaphora Resolution: Theoretically Inspired and Heuristic-Based -- Part II Resources -- 4.Annotated Corpora and Annotation Tools -- 5.Evaluation Metrics -- 6.Evaluation Campaigns -- 7.Preprocessing Technology -- 8.Off-the-shelf Tools -- Part III Algorithms -- 9.The Mention-Pair Model -- 10.Advanced Machine Learning Models for Coreference Resolution -- 11.Integer Linear Programming for Coreference Resolution -- 12.Extracting Anaphoric Agreement Properties from Corpora -- 13.Detecting Non-reference and Non-anaphoricity -- 14.Using Lexical and Encyclopedic Knowledge -- Part IV Applications -- 15.Coreference Applications to Summarization -- 16.Towards a Procedure Model for Developing Anaphora Processing Applications -- Part V Outlook -- 17.Challenges and Directions of Further Research -- Index
Dimensions
unknown
Edition
1st ed. 2016.
Extent
1 online resource (X, 508 p. 30 illus., 4 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9783662479094
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-662-47909-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3710000000778036
  • (DE-He213)978-3-662-47909-4
  • (MiAaPQ)EBC4625278
  • (EXLCZ)993710000000778036
Label
Anaphora Resolution : Algorithms, Resources, and Applications, edited by Massimo Poesio, Roland Stuckardt, Yannick Versley, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Preface -- 1.Introduction -- Part I Background -- 2.Linguistic and Cognitive Evidence About Anaphora -- 3. Early Approaches to Anaphora Resolution: Theoretically Inspired and Heuristic-Based -- Part II Resources -- 4.Annotated Corpora and Annotation Tools -- 5.Evaluation Metrics -- 6.Evaluation Campaigns -- 7.Preprocessing Technology -- 8.Off-the-shelf Tools -- Part III Algorithms -- 9.The Mention-Pair Model -- 10.Advanced Machine Learning Models for Coreference Resolution -- 11.Integer Linear Programming for Coreference Resolution -- 12.Extracting Anaphoric Agreement Properties from Corpora -- 13.Detecting Non-reference and Non-anaphoricity -- 14.Using Lexical and Encyclopedic Knowledge -- Part IV Applications -- 15.Coreference Applications to Summarization -- 16.Towards a Procedure Model for Developing Anaphora Processing Applications -- Part V Outlook -- 17.Challenges and Directions of Further Research -- Index
Dimensions
unknown
Edition
1st ed. 2016.
Extent
1 online resource (X, 508 p. 30 illus., 4 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9783662479094
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-662-47909-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3710000000778036
  • (DE-He213)978-3-662-47909-4
  • (MiAaPQ)EBC4625278
  • (EXLCZ)993710000000778036

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