Czech Dataset for Semantic Textual Similarity
作者： Lukás̆ Svoboda , Tomás̆ Brychcín
DOI: 10.1007/978-3-030-00794-2_23
关键词: Task (project management) 、 Natural language processing 、 Czech 、 Meaning (linguistics) 、 Sentence 、 Computer science 、 SemEval 、 Similarity (psychology) 、 Artificial intelligence
摘要: Semantic textual similarity is the core shared task at International Workshop on Evaluation (SemEval). It focuses sentence meaning comparison. So far, most of research has been devoted to English.
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