Other formats:
BibTeX
LaTeX
RIS
@inproceedings{1809767,
author = {Jakubíček, Miloš and Romani, Emma and Rychlý, Pavel and Herman, Ondřej},
address = {Brno},
booktitle = {Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)},
editor = {Horák, Rychlý, Rambousek},
keywords = {HAMOD; Distributional thesaurus; Outlier detection; Word embeddings; Sketch Engine},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1670-1},
pages = {177-183},
publisher = {Tribun EU},
title = {Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset},
url = {https://raslan2021.nlp-consulting.net/},
year = {2021}
}
TY - JOUR
ID - 1809767
AU - Jakubíček, Miloš - Romani, Emma - Rychlý, Pavel - Herman, Ondřej
PY - 2021
TI - Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset
PB - Tribun EU
CY - Brno
SN - 9788026316701
KW - HAMOD
KW - Distributional thesaurus
KW - Outlier detection
KW - Word embeddings
KW - Sketch Engine
UR - https://raslan2021.nlp-consulting.net/
N2 - 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.
ER -
JAKUBÍČEK, Miloš, Emma ROMANI, Pavel RYCHLÝ and Ondřej HERMAN. Development of HAMOD: a High Agreement Multi-lingual Outlier Detection dataset. In Horák, Rychlý, Rambousek. \textit{Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)}. Brno: Tribun EU, 2021, p.~177-183. ISBN~978-80-263-1670-1.
|
