Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00123255" target="_blank" >RIV/00216224:14330/21:00123255 - isvavai.cz</a>
Result on the web
<a href="https://nlp.fi.muni.cz/raslan/raslan21.pdf#page=185" target="_blank" >https://nlp.fi.muni.cz/raslan/raslan21.pdf#page=185</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset
Original language description
In this paper we describe further development of a High Agreement Multi- lingual Outlier Detection dataset (HAMOD) outlier that is used for the purpose of evaluation of automatic distributional thesauri. We briefly introduce the task and methodological motivation for developing such a dataset, then we present the current status of the dataset and related tools as well as results measured on the dataset so far (both in terms of agreement rates and thesauri eveluation). Finally we discuss future developments of HAMOD.
Czech name
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Czech description
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Project
<a href="/en/project/LM2018101" target="_blank" >LM2018101: Digital Research Infrastructure for the Language Technologies, Arts and Humanities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)
ISBN
9788026316701
ISSN
2336-4289
e-ISSN
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Number of pages
7
Pages from-to
177-183
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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