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@inproceedings{1809763,
author = {Denisová, Michaela and Rychlý, Pavel},
address = {Brno},
booktitle = {Proceedings of the Fifteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2021},
editor = {Horák, Rychlý, Rambousek},
keywords = {Cross-lingual word embeddings; Ground truth dictionary; Evaluation; English; Slovak},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1670-1},
pages = {141-149},
publisher = {Tribun EU},
title = {When Word Pairs Matter - Analysis of the English-Slovak Evaluation Dataset},
url = {https://raslan2021.nlp-consulting.net/},
year = {2021}
}
TY - JOUR
ID - 1809763
AU - Denisová, Michaela - Rychlý, Pavel
PY - 2021
TI - When Word Pairs Matter - Analysis of the English-Slovak Evaluation Dataset
PB - Tribun EU
CY - Brno
SN - 9788026316701
KW - Cross-lingual word embeddings
KW - Ground truth dictionary
KW - Evaluation
KW - English
KW - Slovak
UR - https://raslan2021.nlp-consulting.net/
N2 - Cross-lingual word embeddings facilitate the transfer of lexical knowledge across languages, and they are mainly used for finding transla- tion equivalents. Translation equivalents obtained in this way are usually evaluated with the help of ground truth dictionaries. However, the evalu- ation process, including the ground truth dictionaries, differs from model to model, impeding the correct interpretation of the results. Therefore, in this paper, we provide a thorough analysis of the English-Slovak ground truth dictionary and employ our analysis in evaluating two cross-lingual word embedding models. We show that word pairs choice is an important factor when accurately reflecting the model’s performance.
ER -
DENISOVÁ, Michaela a Pavel RYCHLÝ. When Word Pairs Matter - Analysis of the English-Slovak Evaluation Dataset. In Horák, Rychlý, Rambousek. \textit{Proceedings of the Fifteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2021}. Brno: Tribun EU, 2021, s.~141-149. ISBN~978-80-263-1670-1.
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