English Abstractness / Concreteness Ratings

A collection of English concreteness / abstractness norms for 3 million English words and Multiword expression

English Abstractness / Concreteness Ratings

Maximilian Köper & Sabine Schulte im Walde

We created a new collection of English concreteness / abstractness norms for 3 million English words and Multiword expression. We relied on the google pretrained vectors from word2vec which are available here : GoogleNews-vectors-negative300

The neural network implementation used in our experiements is based on this implementation

 Some (random) example words:

  • razor_blade 9.651
  • Oreo_cookies 9.392
  • toilet_paper 9.002
  • chocolate 9.171
  • pizza 9.013
  • ideals 0.083
  • endlessly 0.075
  • irresponsibly 0.058

Maximilian Köper, Sabine Schulte im Walde (2017)
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses
In: Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications (SENSE). Valencia, Spain.




Logo der Forschergruppe SemRel

Forschergruppe SemRel

Dieses Bild zeigt Sabine Schulte im Walde

Sabine Schulte im Walde

Prof. Dr.

Akademische Rätin

Zum Seitenanfang