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LDA-Frames: An Unsupervised Approach to Generating Semantic Frames

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00059516" target="_blank" >RIV/00216224:14330/12:00059516 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-28604-9_31" target="_blank" >http://dx.doi.org/10.1007/978-3-642-28604-9_31</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-28604-9_31" target="_blank" >10.1007/978-3-642-28604-9_31</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    LDA-Frames: An Unsupervised Approach to Generating Semantic Frames

  • Original language description

    In this paper we introduce a novel approach to identifying semantic frames from semantically unlabelled text corpora. There are many frame formalisms but most of them suffer from the problem that all frames must be created manually and the set of semantic roles must be predefined. The LDA-Frames approach, based on the Latent Dirichlet Allocation, avoids both these problems by employing statistics on a syntactically tagged corpus. The only information that must be given is a number of semantic frames anda number of semantic roles to be identified. The power of LDA-Frames is first shown on a small sample corpus and then on the British National Corpus.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computational Linguistics and Intelligent Text Processing, 13th International Conference, CICLing 2012, Part I

  • ISBN

    9783642286032

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    376-387

  • Publisher name

    Springer-Verlag

  • Place of publication

    Berlin

  • Event location

    New Delhi, India

  • Event date

    Mar 11, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article