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Anaphora Resolution

Algorithms, Resources, and Applications

  • Massimo Poesio
  • Roland Stuckardt
  • Yannick Versley

Table of contents

  1. Front Matter
    Pages i-x
  2. Roland Stuckardt
    Pages 1-19
  3. Background

    1. Front Matter
      Pages 21-21
    2. Massimo Poesio, Roland Stuckardt, Yannick Versley, Renata Vieira
      Pages 55-94
  4. Resources

    1. Front Matter
      Pages 95-95
    2. Massimo Poesio, Sameer Pradhan, Marta Recasens, Kepa Rodriguez, Yannick Versley
      Pages 97-140
    3. Xiaoqiang Luo, Sameer Pradhan
      Pages 141-163
    4. Marta Recasens, Sameer Pradhan
      Pages 165-208
    5. Olga Uryupina, Roberto Zanoli
      Pages 209-236
    6. Yannick Versley, Anders Björkelund
      Pages 237-266
  5. Algorithms

    1. Front Matter
      Pages 267-267
    2. Veronique Hoste
      Pages 269-282
    3. Nick Rizzolo, Dan Roth
      Pages 315-343
    4. Olga Uryupina, Mijail Kabadjov, Massimo Poesio
      Pages 369-392
    5. Yannick Versley, Massimo Poesio, Simone Ponzetto
      Pages 393-429
  6. Applications

    1. Front Matter
      Pages 431-431
    2. Josef Steinberger, Mijail Kabadjov, Massimo Poesio
      Pages 433-456
  7. Outlook

    1. Front Matter
      Pages 485-485
    2. Massimo Poesio, Roland Stuckardt, Yannick Versley
      Pages 487-500
  8. Back Matter
    Pages 501-508

About this book

Introduction

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.

Keywords

Anaphoric Expressions Anaphoric Resolution Computational Linguistics Corpora Information Extraction Natural Language Processing

Editors and affiliations

  • Massimo Poesio
    • 1
  • Roland Stuckardt
    • 2
  • Yannick Versley
    • 3
  1. 1.TrentoItaly
  2. 2.Frankfurt am MainGermany
  3. 3.HeidelbergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-47909-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-47908-7
  • Online ISBN 978-3-662-47909-4
  • Series Print ISSN 2192-032X
  • Series Online ISSN 2192-0338
  • Buy this book on publisher's site
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