NLP Resources

Looking for code? My GitHub handle is minimalparts

• The data and code for my work on Language and Vision is available from the QUANTIT-CLIC page.

• High-risk learning: acquiring new word vectors from tiny data (Herbelot & Baroni 2017)
  • Gensim pretrained background model
  • Wikipedia definitions dataset
  • Code on GitHub

• Building a shared world: mapping from distributional to model-theoretic semantics spaces (Herbelot & Vecchi 2016)
  Data and annotation software for the quantification of the McRae feature norms:
  • The McRae feature norms, annotated with generalised quantifiers
  • Same as above, but only majority opinion cases
  • Annotation script (python)

• Mr Darcy and Mr Toad, gentlemen: distributional names and their kinds (Herbelot, 2015)
  • Code on GitHub

• What is in a text, what isn’t, and what this has to do with lexical semantics (Herbelot 2013)
  Data for the quantification of the small animal dataset:
  • Quantified animal data