Exploring the Potentiality of Semantic Features for Paraphrase Detection

Author:

Anchiêta Rafael TorresORCID,Pardo Thiago Alexandre SalgueiroORCID

Publisher

Springer International Publishing

Reference32 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);RT Anchiêta,2018

2. Anchiêta, R.T., Cabezudo, M.A.S., Pardo, T.A.S.: SEMA: an extended semantic evaluation metric for amr. In: (To appear) Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (2019)

3. Arora, S., Liang, Y., Ma, T.: A simple but tough-to-beat baseline for sentence embeddings. In: Proceeding of the 5th International Conference on Learning Representations (2017)

4. Banarescu, L., et al.: Abstract meaning representation for sembanking. In: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, pp. 178–186 (2013)

5. Bhagat, R., Hovy, E.: What is a paraphrase? Comput. Linguist. 39(3), 463–472 (2013)

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