Keras implementations of three Deep Learning models for paraphrase identification. It is a part of my PhD thesis.

• Sanchez-Perez, M.A. 2018 "Plagiarism Detection through Paraphrase Identification", PhD thesis, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico.

he_approach.py

• He, H., Gimpel, K., Lin, J.J.: Multi-perspective sentence similarity modeling with convolutional neural networks. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. pp. 1576–1586. Association for Computational Linguistics, Lisbon, Portugal(September 2015)

wang_approach.py

• Wang, Z., Mi, H., Ittycheriah, A.: Sentence similarity learning by lexical decomposition and composition. In: Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers. pp. 1340–1349. Association for Computational Linguistics, Osaka, Japan (December 2016)

shen_approach.py

• Shen, Y., Chen, J., Huang, X.: Bidirectional long short-term memory with gated relevance network for paraphrase identification. In: Natural Language Understanding and Intelligent Applications, pp. 39–50.Springer International Publishing (2016)