Anaphora Resolution Algorithms, Resources, and Applications /

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 ma...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Poesio, Massimo (Editor ), Stuckardt, Roland (Editor ), Versley, Yannick (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Theory and Applications of Natural Language Processing,
Temas:
Natural language processing (Computer science).
Computational linguistics.
Natural Language Processing (NLP).
Computational Linguistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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