Statistical MWE-aware parsing

Mathieu Constant; Gülşen Eryiğit; Carlos Ramisch; Mike Rosner; Gerold Schneider

doi:10.5281/zenodo.2579043

Statistical MWE-aware parsing

Mathieu Constant^*, Gülşen Eryiğit, Carlos Ramisch, Mike Rosner, Gerold Schneider

^*Corresponding author for this work

Department of Artificial Intelligence and Data Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

This chapter aims at presenting different strategies that have been designed to incorporate multiword expression (MWE) identification in the process of syntactic parsing using statistical approaches. We discuss MWE representation in treebanks, pipeline and joint orchestrations, the integration of external lexicons and the evaluation of MWE-aware parsers, concluding with our suggestions for future research.

Original language	English
Title of host publication	Representation and Parsing of Multiword Expressions
Subtitle of host publication	Current Trends
Publisher	Language Science Press
Pages	147-182
Number of pages	36
ISBN (Electronic)	9783961101450
ISBN (Print)	9783961101467
DOIs	https://doi.org/10.5281/zenodo.2579043
Publication status	Published - 4 Jul 2019

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© 2019, the authors. All rights reserved.

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AU - Ramisch, Carlos

AU - Rosner, Mike

AU - Schneider, Gerold

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AB - This chapter aims at presenting different strategies that have been designed to incorporate multiword expression (MWE) identification in the process of syntactic parsing using statistical approaches. We discuss MWE representation in treebanks, pipeline and joint orchestrations, the integration of external lexicons and the evaluation of MWE-aware parsers, concluding with our suggestions for future research.

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Statistical MWE-aware parsing

Abstract

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