Scaling Up Paraphrase Generation Datasets with Machine Translation and Semantic Similarity Filtering

Author:

Alkurdi Besher,Sarioglu Hasan Yunus,Amasyali Mehmet Fatih

Publisher

Springer International Publishing

Reference35 articles.

1. Alkurdi, B., Sarioglu, H.Y., Amasyali, M.F.: Semantic similarity based filtering for Turkish paraphrase dataset creation. In: Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022), pp. 119–127, Trento, Italy, December 2022. Association for Computational Linguistics

2. Amasyali, M.F., Tasköprü, H., Çaliskan, K.: Words, meanings, characters in sentiment analysis. In: 2018 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 1–6, Oct 2018

3. Aulamo, M., Sulubacak, U., Virpioja, S., Tiedemann, J.: OpusTools and parallel corpus diagnostics. In: Proceedings of the 12th Language Resources and Evaluation Conference, pp. 3782–3789. European Language Resources Association, May 2020

4. Bağcı, A., Amasyali, M.F.: Comparison of Turkish paraphrase generation models. In: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp. 1–6. IEEE (2021)

5. Banerjee, S., Lavie, A.: METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In: Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization, pp. 65–72, Ann Arbor, Michigan, June 2005. Association for Computational Linguistics

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