Do Supervised Distributional Methods Really Learn Lexical Inference Relations?. In Proceedings of the 2015 Conference of the North American Chapter of the ...

Distributional representations of words have been recently used in supervised settings for recognizing lexical inference relations be-.

Mar 22, 2015 · We investigate a collection of these state-of-the-art methods, and show that they do not actually learn a relation between two words.

Apr 26, 2016 · PDF | On Jan 1, 2015, Omer Levy and others published Do Supervised Distributional Methods Really Learn Lexical Inference Relations?

Distributional representations of words have been recently used in supervised settings for recognizing lexical inference relations between word pairs, ...

Presentation on theme: "Do Supervised Distributional Methods Really Learn Lexical Inference Relations? Omer Levy Ido Dagan Bar-Ilan University Israel Steffen ...

This work investigates a collection of distributional representations of words used in supervised settings for recognizing lexical inference relations ...

Do supervised distributional methods really learn lexical inference relations? NAACL 2015. [15] Marti A. Hearst Automatic acquisition of hyponyms from large ...

Task considered in the "Build it Break it" data, and so will probably ... Do supervised distributional methods really learn lexical inference relations?.

Jun 7, 2016 · Detecting hypernymy relations is a key task in NLP, which is addressed in the literature using two complemen- tary approaches.