Capturing Discriminative Attributes in a Distributional Space: Task Proposal
Alicia Krebs, Denis Paperno · 2016
If lexical similarity is not enough to reliably assess how word vectors would perform on various specific tasks, we need other ways of evaluating semantic representations.We propose a new task, which consists in extracting semantic differences using distributional models: given two words, what is the difference between their meanings?We present two proof of concept datasets for this task and outline how it may be performed.