BlendCSE: Blend contrastive learnings for sentence embeddings with rich semantics and transferability

Author:

Xu JiahaoORCID,Zhanyi Charlie SohORCID,Xu LiwenORCID,Chen LihuiORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

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2. Agirre, E., Banea, C., Cardie, C., Cer, D., Diab, M., Gonzalez-Agirre, A., et al. (2014). Semeval-2014 task 10: Multilingual semantic textual similarity. In Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014) (pp. 81–91).

3. Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation;Agirre,2016

4. Agirre, E., Cer, D., Diab, M., & Gonzalez-Agirre, A. (2012). Semeval-2012 task 6: A pilot on semantic textual similarity. In * SEM 2012: 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 (SemEval 2012) (pp. 385–393).

5. Agirre, E., Cer, D., Diab, M., Gonzalez-Agirre, A., & Guo, W. (2013). * SEM 2013 shared task: Semantic textual similarity. In Second joint conference on lexical and computational semantics (* SEM), Volume 1: Proceedings of the main conference and the shared task: Semantic textual similarity (pp. 32–43).

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