{
 "id": "QuangDuy/supervised_data",
 "owner": "QuangDuy",
 "name": "supervised_data",
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 "last_modified": "2026-10-25T15:21:51.000Z",
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 "gated": "manual",
 "tasks": [
  "sentence-similarity",
  "feature-extraction"
 ],
 "citation": "@inproceedings{huynh-etal-2022-vinli,\n    title = \"{V}i{NLI}: A {V}ietnamese Corpus for Studies on Open-Domain Natural Language Inference\",\n    author = \"Huynh, Tin Van  and\n      Nguyen, Kiet Van  and\n      Nguyen, Ngan Luu-Thuy\",\n    editor = \"Calzolari, Nicoletta  and\n      Huang, Chu-Ren  and\n      Kim, Hansaem  and\n      Pustejovsky, James  and\n      Wanner, Leo  and\n      Choi, Key-Sun  and\n      Ryu, Pum-Mo  and\n      Chen, Hsin-Hsi  and\n      Donatelli, Lucia  and\n      Ji, Heng  and\n      Kurohashi, Sadao  and\n      Paggio, Patrizia  and\n      Xue, Nianwen  and\n      Kim, Seokhwan  and\n      Hahm, Younggyun  and\n      He, Zhong  and\n      Lee, Tony Kyungil  and\n      Santus, Enrico  and\n      Bond, Francis  and\n      Na, Seung-Hoon\",\n    booktitle = \"Proceedings of the 29th International Conference on Computational Linguistics\",\n    month = oct,\n    year = \"2022\",\n    address = \"Gyeongju, Republic of Korea\",\n    publisher = \"International Committee on Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.coling-1.339/\",\n    pages = \"3858--3872\"\n}\n\n@article{vianli,\ntitle = {A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese},\njournal = {Expert Systems with Applications},\npages = {130109},\nyear = {2025},\nissn = {0957-4174},\ndoi = {https://doi.org/10.1016/j.eswa.2025.130109},\nurl = {https://www.sciencedirect.com/science/article/pii/S095741742503725X},\nauthor = {Tin Van Huynh, Kiet Van Ng",
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}