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Poesio, Massimo

Anaphora Resolution

Poesio, Massimo - Anaphora Resolution, ebook

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ISBN: 9783662479094
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Table of contents

1. Introduction
Roland Stuckardt

Part I. Background

2. Linguistic and Cognitive Evidence About Anaphora
Massimo Poesio

3. Early Approaches to Anaphora Resolution: Theoretically Inspired and Heuristic-Based
Massimo Poesio, Roland Stuckardt, Yannick Versley, Renata Vieira

Part II. Resources

4. Annotated Corpora and Annotation Tools
Massimo Poesio, Sameer Pradhan, Marta Recasens, Kepa Rodriguez, Yannick Versley

5. Evaluation Metrics
Xiaoqiang Luo, Sameer Pradhan

6. Evaluation Campaigns
Marta Recasens, Sameer Pradhan

7. Preprocessing Technology
Olga Uryupina, Roberto Zanoli

8. Off-the-Shelf Tools
Yannick Versley, Anders Björkelund

Part III. Algorithms

9. The Mention-Pair Model
Veronique Hoste

10. Advanced Machine Learning Models for Coreference Resolution
Vincent Ng

11. Integer Linear Programming for Coreference Resolution
Nick Rizzolo, Dan Roth

12. Extracting Anaphoric Agreement Properties from Corpora
Shane Bergsma

13. Detecting Non-reference and Non-anaphoricity
Olga Uryupina, Mijail Kabadjov, Massimo Poesio

14. Using Lexical and Encyclopedic Knowledge
Yannick Versley, Massimo Poesio, Simone Ponzetto

Part IV. Applications

15. Coreference Applications to Summarization
Josef Steinberger, Mijail Kabadjov, Massimo Poesio

16. Towards a Procedure Model for Developing Anaphora Processing Applications
Roland Stuckardt

Part V. Outlook

17. Challenges and Directions of Further Research
Massimo Poesio, Roland Stuckardt, Yannick Versley

Keywords: Computer Science, Language Translation and Linguistics, Computational Linguistics

Editor
 
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Series
Theory and Applications of Natural Language Processing
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783662479094
Printed ISBN
978-3-662-47908-7

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