Textual Entailment Technique for the Bahasa Using BiLSTM
Author:
Affiliation:
1. Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9855197/9855201/09855333.pdf?arnumber=9855333
Reference41 articles.
1. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
2. Google Translate Accuracy in Translating Specialized Language From English to Bahasa Indonesia:
3. Learning Natural Language Inference with LSTM
4. A Survey of Paraphrasing and Textual Entailment Methods
5. IndoNLU: Benchmark and resources for evaluating indonesian natural language understanding;wilie;Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing,2020
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3. Recognition Textual Entailment on Bahasa Using Biplet Individual Comparison and BiLSTM;2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS);2023-08-25
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