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 make a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Poesio, Massimo (Επιμελητής έκδοσης), Stuckardt, Roland (Επιμελητής έκδοσης), Versley, Yannick (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Σειρά:Theory and Applications of Natural Language Processing,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.