Dependency Parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10107934" target="_blank" >RIV/00216208:11320/11:10107934 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Dependency Parsing
Original language description
Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse languages with a free word order. Dependency parsing has been shown to improve NLP systems in certain languages and in many cases is considered the state of the art in the field. The use of dependency parsing has mostly been limited to free word order languages, however the usefulness of dependency structures may yield improvements in many of the word's 6,000+ languages. I will give an overview of the field of dependency parsing while giving my aims for future research. Many NLP applications rely heavily on the quality of dependency parsing. For this reason, I will examine how different parsers and annotation schemes influence the overall NLP pipeline inregards to machine translation as well as the the baseline parsing accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WDS'11 Proceedings of Contributed Papers, Part I
ISBN
978-80-7378-184-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
137-142
Publisher name
Matfyzpress
Place of publication
Praha, Czechia
Event location
Praha, Czechia
Event date
May 31, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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