國立虎尾科技大學 |

Anaphora resolution = algorithms, resources, and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Anaphora resolution/ edited by Massimo Poesio, Roland Stuckardt, Yannick Versley.
其他題名:	algorithms, resources, and applications /
其他作者:	Poesio, Massimo.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	x, 508 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Computational linguistics. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-47909-4
ISBN:	9783662479094

Anaphora resolution = algorithms, resources, and applications /
Anaphora resolutionalgorithms, resources, and applications /[electronic resource] :edited by Massimo Poesio, Roland Stuckardt, Yannick Versley. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - x, 508 p. :ill., digital ;24 cm. - Theory and applications of natural language processing,2192-032X. - Theory and applications of natural language processing..

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.

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.

ISBN: 9783662479094

Standard No.: 10.1007/978-3-662-47909-4doiSubjects--Topical Terms:

555811
Computational linguistics.

LC Class. No.: P98

Dewey Class. No.: 006.35

Anaphora resolution = algorithms, resources, and applications /
LDR:04359nam a2200325 a 4500 001 866273
003 DE-He213
005 20160804163636.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783662479094 $q (electronic bk.)
020 $a 9783662479087 $q (paper)
024 7 $a 10.1007/978-3-662-47909-4 $2 doi
035 $a 978-3-662-47909-4
040 $a GP $c GP
041 0 $a eng
050 4 $a P98
072 7 $a UYQL $2 bicssc
072 7 $a COM042000 $2 bisacsh
082 0 4 $a 006.35 $2 23
090 $a P98 $b .A533 2016
245 0 0 $a Anaphora resolution $h [electronic resource] : $b algorithms, resources, and applications / $c edited by Massimo Poesio, Roland Stuckardt, Yannick Versley.
260 $a Berlin, Heidelberg : $c 2016. $b Springer Berlin Heidelberg : $b Imprint: Springer,
300 $a x, 508 p. : $b ill., digital ; $c 24 cm.
490 1 $a Theory and applications of natural language processing, $x 2192-032X
505 0 $a 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.
520 $a 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.
650 0 $a Computational linguistics. $3 555811
650 0 $a Anaphora (Linguistics) $3 579989
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Language Translation and Linguistics. $3 670050
650 2 4 $a Computational Linguistics. $3 670080
700 1 $a Poesio, Massimo. $3 1112357
700 1 $a Stuckardt, Roland. $3 1112358
700 1 $a Versley, Yannick. $3 1112359
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Theory and applications of natural language processing. $3 887616
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-47909-4
950 $a Computer Science (Springer-11645)