Here is some bibliography we propose:

Just reads:

Benikova, D., & Zesch, T. (2017). Same same, but different: Compositionality of Paraphrase Granularity Levels. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (pp. 90-96).

Benikova, D., & Zesch, T. (2016). Bridging the gap between computable and expressive event representations in Social Media. In Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods (pp. 6-10).

Benikova, D., & Biemann, C. (2016). "SemRelData―Multilingual Contextual Annotation of Semantic Relations between Nominals: Dataset and Guidelines." In LREC. (pp. 23-28)

Kovatchev, V., Martí, T., & Salamó, M. (2018). ETPC-A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and Negation. In LREC. (pp. 1384 - 1392).

Kovatchev, V., Marti, T., & Salamo, M. (2018). WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of Texts. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations (pp. 132-136).

Zesch, T., Müller, C., & Gurevych, I. (2008). Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary. In LREC (Vol. 8, No. 2008, pp. 1646-1652).

Bär, D., Biemann, C., Gurevych, I., & Zesch, T. (2012). 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 (pp. 435-440). Association for Computational Linguistics.

Bhagat, R., & Hovy, E. (2013). What is a paraphrase?. Computational Linguistics, 39(3), (pp. 463-472.)

Dagan, I., Glickman, O., & Magnini, B. (2006). The PASCAL recognising textual entailment challenge. In Machine learning challenges. evaluating predictive uncertainty, visual object classification, and recognising tectual entailment (pp. 177-190). Springer, Berlin, Heidelberg.

Agirre, E., Diab, M., Cer, D., & Gonzalez-Agirre, A. (2012). Semeval-2012 task 6: A pilot on semantic textual similarity. 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 (pp. 385-393). Association for Computational Linguistics.

Hanan Aldarmaki and Mona Diab. (2018). Evaluation of unsupervised compositional representations. In Proceedings of COLING 2018. (pp. 2666 - 2677)

Wuwei Lan and Wei Xu. (2018). Neural network models for paraphrase identification, semantic textual similarity, natural language inference, and question answering. In Proceedings of COLING 2018 . (pp. 3890 - 3902)