English Abstractness / Concreteness Ratings

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

English Abstractness / Concreteness Ratings

Typ
Lexicon
Autor
Maximilian Köper & Sabine Schulte im Walde
Description

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
Referenz

Our paper describing how we created the resource [PDF]:

  • Maximilian Köper, Sabine Schulte im Walde
    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

Please consider to also cite the publication of the used training data: 

  • Brysbaert, M., Warriner, B., and Kuperman, V. (2014).
    Concreteness ratings for 40 thousand generally known
    english word lemmas. Behavior Research Methods,
    46(3):904–911.
Download

For acessing the ressource contact Maximilian Köper or try this download link

Sabine Schulte im Walde
Apl. Prof. Dr.

Sabine Schulte im Walde

Akademische Rätin (Associate Professor)

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