About: Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://aclweb.org/anthology/P/P13/P13-1028.pdf
Description	Even though the quality of unsupervised dependency parsers grows, they often fail in recognition of very basic dependencies. In this paper, we exploit a prior knowledge of STOP-probabilities (whether a given word has any children in a given direction), which is obtained from a large raw corpus using the reducibility principle. By incorporating this knowledge into Dependency Model with Valence, we managed to considerably outperform the state-of-the-art results in terms of average attachment score over 20 treebanks from CoNLL 2006 and 2007 shared tasks. Even though the quality of unsupervised dependency parsers grows, they often fail in recognition of very basic dependencies. In this paper, we exploit a prior knowledge of STOP-probabilities (whether a given word has any children in a given direction), which is obtained from a large raw corpus using the reducibility principle. By incorporating this knowledge into Dependency Model with Valence, we managed to considerably outperform the state-of-the-art results in terms of average attachment score over 20 treebanks from CoNLL 2006 and 2007 shared tasks. (en)
Title	Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing (en)
skos:prefLabel	Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing (en)
skos:notation	RIV/00216208:11320/13:10194659!RIV14-MK0-11320___
http://linked.open...avai/predkladatel	Matematicko-fyzikální fakulta
http://linked.open...avai/riv/aktivita	P V
http://linked.open...avai/riv/aktivity	P(DF12P01OVV022), V
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Mareček, David Straka, Milan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	108063
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/13:10194659
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	parsing; dependency; unsupervised; improve; corpus; large; computed; estimates; probability; stop (en)
http://linked.open.../riv/klicoveSlovo	improve computed unsupervised large stop corpus dependency probability parsing estimates
http://linked.open...ontrolniKodProRIV	[46C6C7AA551D]
http://linked.open...v/mistoKonaniAkce	Sofija, Bulgaria
http://linked.open...i/riv/mistoVydani	Sofija, Bulgaria
http://linked.open...i/riv/nazevZdroje	Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	ASR- and MT-based Access to a Large Archive of Cultural Heritage (AMALACH)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Mareček, David Straka, Milan
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2013-08-04 (xsd:date)
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Association for Computational Linguistics
https://schema.org/isbn	978-1-937284-50-3
http://localhost/t...ganizacniJednotka	11320

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