Detailed Information on Publication Record
2021
Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset
JAKUBÍČEK, Miloš, Emma ROMANI, Pavel RYCHLÝ and Ondřej HERMANBasic information
Original name
Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset
Authors
JAKUBÍČEK, Miloš (203 Czech Republic, guarantor, belonging to the institution), Emma ROMANI (380 Italy, belonging to the institution), Pavel RYCHLÝ (203 Czech Republic, belonging to the institution) and Ondřej HERMAN (203 Czech Republic, belonging to the institution)
Edition
Brno, Recent Advances in Slavonic Natural Language Processing (RASLAN 2021), p. 177-183, 7 pp. 2021
Publisher
Tribun EU
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/21:00123255
Organization unit
Faculty of Informatics
ISBN
978-80-263-1670-1
ISSN
Keywords in English
HAMOD; Distributional thesaurus; Outlier detection; Word embeddings; Sketch Engine
Změněno: 15/5/2024 10:24, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.
Links
| LM2018101, research and development project |
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