ShadowSense: A Multi-annotated Dataset for Evaluating Word
Sense Induction

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Detailed Information on Publication Record

J 2024

ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction

HERMAN, Ondřej and Miloš JAKUBÍČEK

Basic information

Original name

ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction

Authors

HERMAN, Ondřej and Miloš JAKUBÍČEK

Edition

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, 2024, 2951-2093

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Článek v odborném periodiku

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není předmětem státního či obchodního tajemství

HERMAN, Ondřej and Miloš JAKUBÍČEK. ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Torino, 2024, p. 14763-14769. ISSN 2951-2093.

@article{2405697,
   author = {Herman, Ondřej and Jakubíček, Miloš},
   article_location = {Torino},
   issn = {2951-2093},
   journal = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
   title = {ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction},
   year = {2024}
}

TY  - JOUR
ID  - 2405697
AU  - Herman, Ondřej - Jakubíček, Miloš
PY  - 2024
TI  - ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction
JF  - Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
SP  - 14763-14769
EP  - 14763-14769
SN  - 29512093
ER  -

HERMAN, Ondřej and Miloš JAKUBÍČEK. ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction. \textit{Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}. Torino, 2024, p.~14763-14769. ISSN~2951-2093.

Detailed Information on Publication Record

ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction

Basic information

Original name

Authors

Edition

Other information

Type of outcome

Confidentiality degree

Tags

Citovat