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SEACrowd/abui_wordnet

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 1453262
Licence files: LICENSE, detected as cc-by-4.0Evidence: LICENSE at 1453262
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

word-analogy

Citation text from the card

@inproceedings{kratochvil-morgado-da-costa-2022-abui,
title = "{A}bui {W}ordnet: Using a Toolbox Dictionary to develop a wordnet for a low-resource language",
author = "Kratochvil, Frantisek  and
  Morgado da Costa, Lu{'}s",
editor = "Serikov, Oleg  and
  Voloshina, Ekaterina  and
  Postnikova, Anna  and
  Klyachko, Elena  and
  Neminova, Ekaterina  and
  Vylomova, Ekaterina  and
  Shavrina, Tatiana  and
  Ferrand, Eric Le  and
  Malykh, Valentin  and
  Tyers, Francis  and
  Arkhangelskiy, Timofey  and
  Mikhailov, Vladislav  and
  Fenogenova, Alena",
booktitle = "Proceedings of the first workshop on NLP applications to field linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Conference on Computational Linguistics",
url = "https://aclanthology.org/2022.fieldmatters-1.7",
pages = "54--63",
abstract = "This paper describes a procedure to link a Toolbox dictionary of a low-resource language to correct
synsets, generating a new wordnet. We introduce a bootstrapping technique utilising the information in the gloss
fields (English, national, and regional) to generate sense candidates using a naive algorithm based on
multilingual sense intersection. We show that this technique is quite effective when glosses are available in
more than one language. Our technique complements the previous work by Rosman et al. (2014) which linked the
SIL Semantic Domains to wordnet senses. Through this work we have created a small, fully hand

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dataset_licence({ "id": "SEACrowd/abui_wordnet" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0