The Resource Anaphora resolution : algorithms, resources, and applications, Massimo Poesio, Roland Stuckardt, Yannick Versley, editors

Anaphora resolution : algorithms, resources, and applications, Massimo Poesio, Roland Stuckardt, Yannick Versley, editors

Label
Anaphora resolution : algorithms, resources, and applications
Title
Anaphora resolution
Title remainder
algorithms, resources, and applications
Statement of responsibility
Massimo Poesio, Roland Stuckardt, Yannick Versley, editors
Contributor
Editor
Subject
Genre
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
Cataloging source
N$T
Dewey number
  • 006.3/5
  • 004
Index
index present
LC call number
P98
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
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
  • Computational linguistics
  • Anaphora (Linguistics)
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • Anaphora (Linguistics)
  • Computational linguistics
  • Computer Science
  • Language Translation and Linguistics
  • Computational Linguistics
Label
Anaphora resolution : algorithms, resources, and applications, Massimo Poesio, Roland Stuckardt, Yannick Versley, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-662-47909-4
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Preface -- 1. Introduction -- 2. Linguistic and cognitive evidence about anaphora -- 3. Early approaches to anaphora resolution: Theoretically inspired and heuristic-based -- 4. Annotated corpora and annotation tools -- 5. Evaluation metrics -- 6. Evaluation campaigns -- 7. Preprocessing technology -- 8. Off-the-shelf tools -- 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 -- 15. Coreference applications to summarization -- 16. Towards a procedure model for developing anaphora processing applications -- 17. Challenges and directions of further research
Dimensions
unknown
Extent
1 online resource (508 pages).
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9783662479094
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-662-47909-4
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)956377511
  • (OCoLC)ocn956377511
Label
Anaphora resolution : algorithms, resources, and applications, Massimo Poesio, Roland Stuckardt, Yannick Versley, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-662-47909-4
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Preface -- 1. Introduction -- 2. Linguistic and cognitive evidence about anaphora -- 3. Early approaches to anaphora resolution: Theoretically inspired and heuristic-based -- 4. Annotated corpora and annotation tools -- 5. Evaluation metrics -- 6. Evaluation campaigns -- 7. Preprocessing technology -- 8. Off-the-shelf tools -- 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 -- 15. Coreference applications to summarization -- 16. Towards a procedure model for developing anaphora processing applications -- 17. Challenges and directions of further research
Dimensions
unknown
Extent
1 online resource (508 pages).
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9783662479094
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-662-47909-4
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)956377511
  • (OCoLC)ocn956377511

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