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Open-domain Factoid Question Answering via Knowledge Graph Search

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335441" target="_blank" >RIV/00216208:11320/16:10335441 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclweb.org/anthology/W/W16/W16-0104.pdf" target="_blank" >https://aclweb.org/anthology/W/W16/W16-0104.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Open-domain Factoid Question Answering via Knowledge Graph Search

  • Original language description

    We introduce a highly scalable approach for open-domain question answering with no dependence on any data set for surface form to logical form mapping or any linguistic analytic tool such as POS tagger or named entity recognizer. We define our approach under the Constrained Conditional Models framework which lets us scale up to a full knowledge graph with no limitation on the size. On a standard benchmark, we obtained near 4 percent improvement over the state-of-the-art in open-domain question answering task.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

    2016

  • 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 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human-Computer Question Answering Workshop

  • ISBN

    978-1-941643-96-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    22-28

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    San Diego, CA, USA

  • Event date

    Jun 12, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article