Atnaujinkite slapukų nuostatas

Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches [Kietas viršelis]

  • Formatas: Hardback, 438 pages, weight: 1295 g
  • Išleidimo metai: 01-Apr-2012
  • Leidėjas: Business Science Reference
  • ISBN-10: 1613504470
  • ISBN-13: 9781613504475
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 438 pages, weight: 1295 g
  • Išleidimo metai: 01-Apr-2012
  • Leidėjas: Business Science Reference
  • ISBN-10: 1613504470
  • ISBN-13: 9781613504475
Kitos knygos pagal šią temą:
Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches defines the role of ANLP within NLP, and alongside other disciplines such as linguistics, computer science, and cognitive science. The description also includes the categorization of current ANLP research, and examples of current research in ANLP. This book is a useful reference for teachers, students, and materials developers in fields spanning linguistics, computer science, and cognitive science.
Foreword xiv
Preface xvi
Acknowledgment xxiii
Section 1
Chapter 1 Computational Semantics Requires Computation
1(8)
Yorick Wilks
Chapter 2 Natural Language Processing Tools
9(15)
Justin F. Brunelle
Chutima Boonthum-Denecke
Chapter 3 Information Extraction from Text and Beyond
24(16)
Marie-Francine Moens
Chapter 4 Corpora and Concordancers
40(10)
Charles Hall
Chapter 5 Lexical Challenges in the Intersection of Applied Linguistics and ANLP
50(23)
Scott Jarvis
Chapter 6 The User-Language Paraphrase Corpus
73(17)
Philip M. McCarthy
Danielle S. McNamara
Chapter 7 Amazon Mechanical Turk: A Web-Based Tool for Facilitating Experimental Research in ANLP
90(13)
Amber Chauncey Strain
Lucille M. Booker
Chapter 8 Some Issues on Capturing the Meaning of Negated Statements
103(11)
Eduardo Blanco
Dan Moldovan
Chapter 9 Cognitive Load Aspects of Text Processing
114(19)
Slava Kalyuga
Chapter 10 Understanding and Reasoning with Text
133(23)
M. Anne Britt
Katja Wiemer
Keith K. Millis
Joseph P. Magliano
Patty Wallace
Peter Hastings
Section 2
Chapter 11 Guru: Designing a Conversational Expert Intelligent Tutoring System
156(16)
Andrew M. Olney
Natalie K. Person
Arthur C. Graesser
Chapter 12 P-MATCH: Identifying Part Name in Noisy Text Data
172(13)
Anne Kao
Stephen R. Poteet
David H. Jones
David Augustine
Chapter 13 Disambiguation and Filtering Methods in Using Web Knowledge for Coreference Resolution
185(17)
Olga Uryupina
Massimo Poesio
Claudio Giuliano
Kateryna Tymoshenko
Chapter 14 Newness and Givenness of Information: Automated Identification in Written Discourse
202(23)
Philip M. McCarthy
David Dufty
Christian F. Hempelmann
Zhiqiang Cai
Danielle McNamara
Arthur C. Graesser
Chapter 15 Improving Spoken Dialogue Understanding Using Phonetic Mixture Models
225(14)
William Yang Wang
Ron Artstein
Anton Leuski
David Traum
Chapter 16 Mining and Visualizing the Narration Tree of Hadiths (Prophetic Traditions)
239(19)
Aqil Azmi
Nawaf AlBadia
Chapter 17 Combinatory Categorial Grammar for Computer-Assisted Language Learning
258(15)
Simon Delamarre
Maryvonne Abraham
Chapter 18 Fairy Tales and ESL Texts: An Analysis of Linguistic Features Using the Gramulator
273(11)
Rachel M. Rufenacht
Philip M. McCarthy
Travis A. Lamkin
Rachel Rufenacht
Chapter 19 Text-Based Affect Detection in Intelligent Tutors
284(21)
Sidney D'Mello
Arthur Graesser
Chapter 20 Multiple Influences on the Use of English Spatial Prepositions: The Case of "in" and "on"
305(19)
Michele I. Feist
Dedre Gentner
Chapter 21 Evaluating Semantic Metrics on Tasks of Concept Similarity
324(17)
Hansen A. Schwartz
Fernando Gomez
Chapter 22 Extracting Commonsense Knowledge Using Concepts Properties
341(13)
Eduardo Blanco
Hakki C. Cankaya
Dan Moldovan
Chapter 23 Co-Occurrence-Based Error Correction Approach to Word Segmentation
354(11)
Ekawat Chaowicharat
Kanlaya Naruedomkul
Compilation of References 365(36)
About the Contributors 401(9)
Index 410