Semantic textual similarity between sentences using bilingual word semantics

Author:

Shajalal Md.ORCID,Aono Masaki

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference29 articles.

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2. Agirre, E., Banea, C., Cer, D., Diab, M., Gonzalez-Agirre, A., Mihalcea, R., Rigau, G., Wiebe, J.: Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 497–511 (2016)

3. Aliguliyev, R.M.: A new sentence similarity measure and sentence based extractive technique for automatic text summarization. Expert Syst. Appl. 36(4), 7764–7772 (2009)

4. Bär, D., Biemann, C., Gurevych, I., Zesch, T.: Ukp: computing semantic textual similarity by combining multiple content similarity measures. In: Proceedings of the First Joint Conference on Lexical and Computational Semantics-Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, Association for Computational Linguistics, pp. 435–440 (2012)

5. Barrow, J., Peskov, D.: UMDeep at SemEval-2017 task 1: end-to-end shared weight LSTM model for semantic textual similarity. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp. 180–184 (2017)

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