@jkdempc The Glasgow norms (Scott et al. 2019) have ratings of "gender association" for 5.5k words. Some of those words are probably occupational nouns? https://t.co/8bfaY9QDOy
@venpopov The Glasgow norms contain ratings of "semantic size" on 5,500, and the description sounds like what you need? Hope this helps! https://t.co/8bfaY9QDOy
@data_stephanie This paper has human ratings of male and female connotations for a range of words: https://t.co/o9UuZiZJtg I've done some work comparing these ratings to estimates from word embedding models, and they're correlated at about r = .6 (https:
The Glasgow Norms: Ratings of 5,500 words on nine scales https://t.co/Gd8vXYUSv6
RT @JenniRodd: Great resource! https://t.co/GeA6oUJZG1
Versatile and useful corpus by, among others, @anneke_sci and @_BoYao
RT @JenniRodd: Great resource! https://t.co/GeA6oUJZG1
RT @JenniRodd: Great resource! https://t.co/GeA6oUJZG1
Great resource!
The Glasgow Norms: Ratings of 5,500 words on nine scales https://t.co/xHNsvWcGf5 BehResM
This is very cool. I'm wondering if the ambiguity part could be used to aid vector space semantics evaluation (homonyms are always a problem). Also, I'm thinking the dataset would make for an excellent addition to our psychology multivariate #rstats course
RT @justinsulik: Useful new database of word norms (including explicit marking of context for ambiguous words): https://t.co/daMAbyCnX6
RT @justinsulik: Useful new database of word norms (including explicit marking of context for ambiguous words): https://t.co/daMAbyCnX6
RT @justinsulik: Useful new database of word norms (including explicit marking of context for ambiguous words): https://t.co/daMAbyCnX6
RT @justinsulik: Useful new database of word norms (including explicit marking of context for ambiguous words): https://t.co/daMAbyCnX6
Useful new database of word norms (including explicit marking of context for ambiguous words): https://t.co/daMAbyCnX6