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Quo Vadis, Math Information Retrieval

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00111500" target="_blank" >RIV/00216224:14330/19:00111500 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fi.muni.cz/usr/sojka/papers/raslan-2019-sojka-novotny-ayetiran-luptak-stefanik.pdf" target="_blank" >https://www.fi.muni.cz/usr/sojka/papers/raslan-2019-sojka-novotny-ayetiran-luptak-stefanik.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quo Vadis, Math Information Retrieval

  • Original language description

    With the exponential growth of information in the digital form, information retrieval and querying digital libraries is of paramount importance, and mathematical and technical STEM documents are not an exception. The key for precise searching is the adequate and unambiguous representation of documents, paragraphs, sentences and words, which we are going to evaluate. We are presenting a roadmap to tackle the problem of searching and question answering in the digital mathematical libraries, and discuss the pros and cons of promising approaches primarily for the key part, namely the document representation: several types of embeddings, topic mixtures and LSTM. The listed representation learning options will be evaluated at the next ARQMath evaluation lab of CLEF 2020 conference.

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • 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 Thirteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019

  • ISBN

    9788026315179

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    117-128

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Dec 6, 2019

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000604899800014