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Learning to Parse on Aligned Corpora (Rough Diamond)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00235216" target="_blank" >RIV/68407700:21730/15:00235216 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-319-22102-1_15" target="_blank" >https://doi.org/10.1007/978-3-319-22102-1_15</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-22102-1_15" target="_blank" >10.1007/978-3-319-22102-1_15</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Learning to Parse on Aligned Corpora (Rough Diamond)

  • Original language description

    In this work we start to address this problem by developing approximate probabilistic parsing techniques that autonomously train disambiguation on large corpora. Unlike in standard natural language processing, we can filter the resulting parse trees by strong ITP and AR semantic methods such as typechecking and automated theorem proving, and even let the probabilistic methods self-improve based on such semantic feedback. We describe the general motivation and our first experiments, and build an online system for parsing ambiguous formulas over the Flyspeck library.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    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

    Interactive Theorem Proving

  • ISBN

    978-3-319-22101-4

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    7

  • Pages from-to

    227-233

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Nanjing

  • Event date

    Aug 24, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000469263800015