ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
TL
TL;DR
Luminoso’s participation in SemEval 2017 Task 2, “Multilingual and Cross-lingual Semantic Word Similarity”, with a system based on ConceptNet, which took first place in both subtasks.
Abstract
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.
References12 items
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SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
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Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities
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Enriching Word Vectors with Subword Information
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