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A Gentle Introduction to Machine Learning for Natural Language Processing: How to start in 16 practical steps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10317955" target="_blank" >RIV/00216208:11320/15:10317955 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Gentle Introduction to Machine Learning for Natural Language Processing: How to start in 16 practical steps

  • Original language description

    We present a gentle introduction to machine learning and we explain it on its application in the field of natural language processing. Namely, we address the task of word sense disambiguation practically in the R software system. We focus on readers whoapproach some task and want to use machine learning, and who do not know how to start.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • 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

  • Name of the periodical

    Language and Linguistics Compass

  • ISSN

    1749-818X

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    22

  • Pages from-to

    55-76

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84922032272