dataset.page.titleprefix Natural Language Inference Datasets in Turkish
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Date
Journal Title
Journal ISSN
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Publisher
Association for Computational Linguistics
Abstract
Description
The Natural Language Inference in Turkish (NLI-TR) is a set of two large scale datasets that were obtained by translating the foundational NLI corpora (SNLI and MultiNLI) using Amazon Translate. The English sentences of the datasets can be accessed from the original corpus by using their common identifier key (pairID).
GitHub: https://github.com/boun-tabi/NLI-TR
SNLI: https://nlp.stanford.edu/projects/snli/
MultiNLI: https://www.nyu.edu/projects/bowman/multinli/
Amazon Translate: https://aws.amazon.com/tr/translate/
Keywords
Citation
Emrah Budur, Rıza Özçelik, Tunga Gungor, and Christopher Potts. 2020. Data and Representation for Turkish Natural Language Inference. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8253–8267, Online. Association for Computational Linguistics.