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Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity

机译:Wild Devs在SemEval-2017上的任务2:使用神经网络发现单词的相似性

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This paper presents Wild Devs' participation in the SemEval-2017 Task 2 "Multilingual and Cross-lingual Semantic Word Similarity", which tries to automatically measure the semantic similarity between two words. The system was build using neural networks, having as input a collection of word pairs, whereas the output consists of a list of scores, from 0 to 4, corresponding to the degree of similarity between the word pairs.
机译:本文介绍了Wild Devs参与的SemEval-2017任务2“多语言和跨语言语义词相似度”,该尝试试图自动测量两个词之间的语义相似度。该系统是使用神经网络构建的,具有输入的单词对集合,而输出则包括一个分数列表,范围从0到4,对应于单词对之间的相似程度。

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