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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Cross-lingual Focused Evaluation Cer, Daniel; Diab, Mona; Agirre, Eneko,... In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) ; The 11th International Workshop on Semantic Evaluation (SemEval-2017) ; https://hal.archives-ouvertes.fr/hal-01560674 ; The 11th International Workshop on Semantic Evaluation (SemEval-2017), Steven Bethard; Marine Carpuat; Marianna Apidianaki; Saif M. Mohammad; Daniel Cer; David Jurgens, Aug 2017, Vancouver, Canada. pp.1 - 14 (2017) BASE Show details 2 SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation ... Cer, Daniel; Diab, Mona; Agirre, Eneko; Lopez-Gazpio, Iñigo; Specia, Lucia. - : arXiv, 2017 Abstract: Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include machine translation (MT), summarization, generation, question answering (QA), short answer grading, semantic search, dialog and conversational systems. The STS shared task is a venue for assessing the current state-of-the-art. The 2017 task focuses on multilingual and cross-lingual pairs with one sub-track exploring MT quality estimation (MTQE) data. The task obtained strong participation from 31 teams, with 17 participating in all language tracks. We summarize performance and review a selection of well performing methods. Analysis highlights common errors, providing insight into the limitations of existing models. To support ongoing work on semantic representations, the STS Benchmark is introduced as a new shared training and evaluation set carefully selected from the corpus of English STS shared task data (2012-2017). ... : To appear in proceedings of the SemEval workshop at ACL 2017; 14 pages, 14 Tables, 1 Figure ... Keyword: 68T50; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7 URL: https://dx.doi.org/10.48550/arxiv.1708.00055 https://arxiv.org/abs/1708.00055 BASE Hide details

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