Detecting Minimal Semantic Units and their Meanings

The DiMSUM shared task at SemEval 2016 is concerned with predicting, given an English sentence, a broad-coverage representation of lexical semantics. The representation consists of two closely connected facets: a segmentation into minimal semantic units, and a labeling of some of those units with semantic classes known as supersenses.

Code

Google Colab

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