1. Anand Kumar, M., Singh, S., Kavirajan, B., Soman, K.: Shared task on detecting paraphrases in indian languages (dpil): An overview. Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) pp. 128–140 (2018)
2. Blacoe, W., Lapata, M.: A comparison of vector-based representations for semantic composition. In: Proceedings of the 2012 joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 546–556. Association for Computational Linguistics (2012)
3. Cordeiro, J., Dias, G., Brazdil, P.: A metric for paraphrase detection. In: International Multi-Conference on Computing in the Global Information Technology, 2007. ICCGI 2007, pp. 7–7. IEEE (2007)
4. Fernando, S., Stevenson, M.: A semantic similarity approach to paraphrase detection. In: Proceedings of the 11th Annual Research Colloquium of the UK Special Interest Group for Computational Linguistics, pp. 45–52 (2008)
5. Huang, C.H., Yin, J., Hou, F.: A text similarity measurement combining word semantic information with tf-idf method. Jisuanji Xuebao(Chin. J. Comput.) 34(5), 856–864 (2011)