Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection

SEMEVAL 2017 Yogarshi VyasMarine Carpuat

We introduce WHiC, a challenging testbed for detecting hypernymy, an asymmetric relation between words. While previous work has focused on detecting hypernymy between word types, we ground the meaning of words in specific contexts drawn from WordNet examples, and require predictions to be sensitive to changes in contexts... (read more)

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