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Solving Three Czech NLP Tasks End-to-End with Neural Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390180" target="_blank" >RIV/00216208:11320/18:10390180 - isvavai.cz</a>

  • Result on the web

    <a href="https://ufal.mff.cuni.cz/~rosa/2018/docs/ITAT_2018_paper_14_1.pdf" target="_blank" >https://ufal.mff.cuni.cz/~rosa/2018/docs/ITAT_2018_paper_14_1.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solving Three Czech NLP Tasks End-to-End with Neural Models

  • Original language description

    In this work, we focus on three different NLP tasks: image captioning, machine translation, and sentiment analysis. We reimplement successful approaches of other authors and adapt them to the Czech language. We provide end-to-end architectures that achieve state-of-the-art or nearly state-of-the-art results on all of the tasks within a single sequence learning toolkit. The trained models are available both for download as well as in an online demo.

  • 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

    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)

Others

  • Publication year

    2018

  • 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 18th conference ITAT 2018: Slovenskočeský NLP workshop (SloNLP 2018)

  • ISBN

    978-1-72726-719-8

  • ISSN

    1613-0073

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    138-143

  • Publisher name

    CreateSpace Independent Publishing Platform

  • Place of publication

    Košice, Slovakia

  • Event location

    Plejsy, Slovakia

  • Event date

    Sep 22, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article