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ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

机译:SemEval-2017上的ConceptNet任务2:使用多语言关系知识扩展单词嵌入

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This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet. ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that relates the meanings of words and phrases. Our submission to SemEval was an update of previous work that builds high-quality, multilingual word embeddings from a combination of ConceptNet and distributional semantics. Our system took first place in both subtasks. It ranked first in 4 out of 5 of the separate languages, and also ranked first in all 10 of the cross-lingual language pairs.
机译:本文使用基于ConceptNet的系统描述Luminoso参与SemEval 2017任务2,“多语言和跨语言语义词相似性”。 ConceptNet是一个开放的,多语言的知识图,着眼于与单词和短语的含义相关的常识。我们提交给SemEval的内容是对以前工作的更新,该工作是通过ConceptNet和分布语义的结合来构建高质量的多语言单词嵌入的。我们的系统在这两个子任务中均排名第一。它在5种独立语言中的4种中排名第一,在所有10种跨语言语言对中也排名第一。

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