Representation and parsing of multiword expressions: Current trends

Yannick Parmentier (ed), Jakub Waszczuk (ed)

Synopsis

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches.

Chapters

  • Preface
    Yannick Parmentier, Jakub Waszczuk
    Preface
  • Lexical encoding formats for multi-word expressions: The challenge of “irregular” regularities
    Timm Lichte, Simon Petitjean, Agata Savary, Jakub Waszczuk
    Chapter 1
  • Verbal MWEs: Idiomaticity and flexibility
    Livnat Herzig Sheinfux, Tali Arad Greshler, Nurit Melnik, Shuly Wintner
    Chapter 2
  • Multiword expressions in an LFG grammar for Norwegian
    Helge Dyvik, Gyri Smørdal Losnegaard, Victoria Rosén
    Chapter 3
  • Issues in parsing MWEs in an LFG/XLE framework
    Stella Markantonatou, Niki Samaridi, Panagiotis Minos
    Chapter 4
  • Multi-word expressions in multilingual applications within the Grammatical Framework
    Krasimir Angelov
    Chapter 5
  • Statistical MWE-aware parsing
    Mathieu Constant, Gülşen Eryiğit, Carlos Ramisch, Mike Rosner, Gerold Schneider
    Chapter 6
  • Investigating the effect of automatic MWE recognition on CCG parsing
    Miryam de Lhoneux, Omri Abend, Mark Steedman
    Chapter 7
  • Multilingual parsing and MWE detection
    Vasiliki Foufi, Luka Nerimi, Eric Wehrli
    Chapter 8
  • Extracting and aligning multiword expressions from parallel corpora
    Nasredine Semmar, Christophe Servan, Meriama Laib, Dhouha Bouamor, Morgane Marchand
    Chapter 9
  • Cross-lingual linking of multi-word entities and language-dependent learning of multi-word entity patterns
    Guillaume Jacquet, Maud Ehrmann, Jakub Piskorski, Hristo Tanev, Ralf Steinberger
    Chapter 10

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Representation and parsing of multiword expressions: Current trends

Biographies

Yannick Parmentier, Université de Lorraine

Yannick Parmentier is an Associate Professor at Université de Lorraine, France. He got his PhD in Computer Science in 2007 from Henri Poincaré University, Nancy, France. During his PhD, he took part in the design and implementation of the XMG description language and its application to the formal description of French syntax and semantics. In 2007-2008, he was a postdoctoral research fellow at University of Tübingen, Germany, where he worked on symbolic parsing with tree-based grammars. From 2009 to 2017, he was an Associate Professor at Université d'Orléans working on constraint-based approaches in computational linguistics.

Jakub Waszczuk, Heinrich Heine Universität, Düsseldorf

Jakub Waszczuk is a post-doctoral research fellow at Heinrich Heine Universität, Düsseldorf, Germany, where he works on syntactic parsing and parsing-driven multiword expressions identification algorithms. He got his PhD in Computer Science in 2017 from Université François Rabelais, Tours, France. During his PhD, he worked on the design and implementation of multiword expression-aware parsing algorithms for tree-based grammars, with the goal of showing that appropriate handling of multiword expressions can help reduce syntactic ambiguity and increase parsing efficiency.

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Published

July 4, 2019
LaTeX source on GitHub

Series

Phraseology and Multiword Expressions

Print ISSN

2625-3127
Cite as
Parmentier, Yannick & Waszczuk, Jakub (eds.). 2019. Representation and parsing of multiword expressions: Current trends. (Phraseology and Multiword Expressions 3). Berlin: Language Science Press. DOI: 10.5281/zenodo.2579017
Copyright (c) 2018 Language Science Press

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Details about the available publication format: PDF

PDF

ISBN-13 (15)

978-3-96110-145-0

Publication date (01)

2019-06-21

doi

10.5281/zenodo.2579017

Details about the available publication format: Hardcover

Hardcover

ISBN-13 (15)

978-3-96110-146-7