Please help transcribe this video using our simple transcription tool. You need to be logged in to do so.

Description

Distributional representations of words have been recently used in supervised settings for recognizing lexical inference relations between word pairs, such as hypernymy and entailment. We investigate a collection of these state-of-the-art methods, and show that they do not actually learn a relation between two words. Instead, they learn an independent property of a single word in the pair: whether that word is a ``prototypical hypernym''.

Questions and Answers

You need to be logged in to be able to post here.