Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Shiva Taslimipoor, Omid Rohanian, Le An Ha, Gloria Corpas Pastor, Ruslan Mitkov
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This paper describes the system submitted to SemEval 2018 shared task 10 `Capturing Dicriminative Attributes'. We use a combination of knowledge-based and co-occurrence features to capture the semantic difference between two words in relation to an attribute. We define scores based on association measures, ngram counts, word similarity, and ConceptNet relations. The system is ranked 4th (joint) on the official leaderboard of the task.