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SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation.

, , , , and . SemEval@ACL, page 1-14. Association for Computational Linguistics, (2017)

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Interpretable semantic textual similarity: Finding and explaining differences between sentences., , , , , and . Knowl.-Based Syst., (2017)Two Approaches to Generate Questions in Basque., , , , and . Procesamiento del Lenguaje Natural, (2013)UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS., , , , , and . SemEval@NAACL-HLT, page 178-183. The Association for Computer Linguistics, (2015)SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability., , , , , , , , , and 3 other author(s). SemEval@NAACL-HLT, page 252-263. The Association for Computer Linguistics, (2015)SemEval-2016 Task 2: Interpretable Semantic Textual Similarity., , , , , and . SemEval@NAACL-HLT, page 512-524. The Association for Computer Linguistics, (2016)Word n-gram attention models for sentence similarity and inference., , , and . Expert Syst. Appl., (2019)SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation., , , , and . SemEval@ACL, page 1-14. Association for Computational Linguistics, (2017)Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation., , , and . CoNLL, page 282-291. Association for Computational Linguistics, (2018)Contribuciones a la comprensión lectora: mecanismos de atención y alineamiento entre n-gramas para similitud e inferencia interpretable.. Procesamiento del Lenguaje Natural, (2019)Supervised Hierarchical Classification for Student Answer Scoring., , , and . CoRR, (2015)