<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="piasecki-etal-2018-wordnet">
    <titleInfo>
        <title>Wordnet-based Evaluation of Large Distributional Models for Polish</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Maciej</namePart>
        <namePart type="family">Piasecki</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Gabriela</namePart>
        <namePart type="family">Czachor</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Arkadiusz</namePart>
        <namePart type="family">Janz</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Dominik</namePart>
        <namePart type="family">Kaszewski</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Paweł</namePart>
        <namePart type="family">Kędzia</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-01</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 9th Global Wordnet Conference</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Francis</namePart>
            <namePart type="family">Bond</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Piek</namePart>
            <namePart type="family">Vossen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Christiane</namePart>
            <namePart type="family">Fellbaum</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Global Wordnet Association</publisher>
            <place>
                <placeTerm type="text">Nanyang Technological University (NTU), Singapore</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>The paper presents construction of large scale test datasets for word embeddings on the basis of a very large wordnet. They were next applied for evaluation of word embedding models and used to assess and compare the usefulness of different word embeddings extracted from a very large corpus of Polish. We analysed also and compared several publicly available models described in literature. In addition, several large word embeddings models built on the basis of a very large Polish corpus are presented.</abstract>
    <identifier type="citekey">piasecki-etal-2018-wordnet</identifier>
    <location>
        <url>https://aclanthology.org/2018.gwc-1.26/</url>
    </location>
    <part>
        <date>2018-01</date>
        <extent unit="page">
            <start>229</start>
            <end>238</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Wordnet-based Evaluation of Large Distributional Models for Polish
%A Piasecki, Maciej
%A Czachor, Gabriela
%A Janz, Arkadiusz
%A Kaszewski, Dominik
%A Kędzia, Paweł
%Y Bond, Francis
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 9th Global Wordnet Conference
%D 2018
%8 January
%I Global Wordnet Association
%C Nanyang Technological University (NTU), Singapore
%F piasecki-etal-2018-wordnet
%X The paper presents construction of large scale test datasets for word embeddings on the basis of a very large wordnet. They were next applied for evaluation of word embedding models and used to assess and compare the usefulness of different word embeddings extracted from a very large corpus of Polish. We analysed also and compared several publicly available models described in literature. In addition, several large word embeddings models built on the basis of a very large Polish corpus are presented.
%U https://aclanthology.org/2018.gwc-1.26/
%P 229-238

Markdown (Informal)

[Wordnet-based Evaluation of Large Distributional Models for Polish](https://aclanthology.org/2018.gwc-1.26/) (Piasecki et al., GWC 2018)

• Wordnet-based Evaluation of Large Distributional Models for Polish (Piasecki et al., GWC 2018)

ACL

• Maciej Piasecki, Gabriela Czachor, Arkadiusz Janz, Dominik Kaszewski, and Paweł Kędzia. 2018. Wordnet-based Evaluation of Large Distributional Models for Polish. In Proceedings of the 9th Global Wordnet Conference, pages 229–238, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.