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MSTParser Model Interpolation for Multi-source Delexicalized Transfer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318160" target="_blank" >RIV/00216208:11320/15:10318160 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aclweb.org/anthology/W15-2209" target="_blank" >http://www.aclweb.org/anthology/W15-2209</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MSTParser Model Interpolation for Multi-source Delexicalized Transfer

  • Original language description

    We introduce interpolation of trained MSTParser models as a resource combination method for multi-source delexicalized parser transfer. We present both an unweighted method, as well as a variant in which each source model is weighted by the similarity ofthe source language to the target language. Evaluation on the HamleDT treebank collection shows that theweightedmodelinterpolationperforms comparably to weighted parse tree combination method, while being computationally much less demanding.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 14th International Conference on Parsing Technologies

  • ISBN

    978-1-941643-98-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    71-75

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Bilbao, Spain

  • Event date

    Jul 22, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article