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Statistical MWE-aware parsing

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 01 Jan 2019 France English Publisher:Language Science PressFunded by:ANR | PARSEME-FR, TUBITAK | Web 2.0 Cümlelerinin Ayrı...
Authors: Constant, Mathieu; Eryiğit, Gülşen; Ramisch, Carlos; Rosner, Michael; Schneider, Gerold;

doi: 10.5281/zenodo.2579042 , 10.5281/zenodo.2579043

Statistical MWE-aware parsing

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.

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[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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The European University of Social Sciences
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