SEACrowd/abui_wordnet

Abui Wordnet是一个小型的、完全手动检查的Abui语言词汇网络，包含超过1,400个概念和3,600个意义。该数据集使用了引导技术，利用多语言意义交集的信息生成意义候选。数据集支持词汇类比任务，并提供了使用`datasets`和`seacrowd`库加载数据集的代码示例。

A small fully hand-checked wordnet for Abui, containing over 1,400 concepts and 3,600 senses, is created. A bootstrapping technique is introduced to utilise the information in the gloss fields (English, national, and regional) to generate sense candidates using a naive algorithm based on multilingual sense intersection. The dataset supports the Word Analogy task and provides code examples for loading the dataset using the `datasets` and `seacrowd` libraries.

原始信息汇总

Abui Wordnet 数据集概述

基本信息

• 名称: Abui Wordnet
• 语言: Abui (abz)
• 任务类别: 词义类比 (Word Analogy)
• 标签: 词义类比 (Word Analogy)
• 许可证: Creative Commons Attribution 4.0 (cc-by-4.0)

数据集描述

• 规模: 包含超过1,400个概念和3,600个词义。
• 创建方法: 通过手动检查创建，并引入了一种基于多语言词义交集的引导技术，利用注释字段（英语、国家、地区）生成词义候选。

支持的任务

• 词义类比 (Word Analogy)

数据集版本

• 源版本: 1.0.0
• SEACrowd版本: 2024.06.20

引用信息

• Abui Wordnet:

  @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-checked wordnet for Abui, containing over 1,400 concepts and 3,600 senses.", }

• SEACrowd:

  @article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }