Courses and Tutorials on DSM

ESSLLI '09 – NAACL-HLT 2010 – Downloads & Links – Bibliography

• Web interface for several pre-trained Infomap models (CIMeC, U Trento)
• Explore a German LSA space (CogSci, U Osnabrück)

• Infomap NLP
• HiDEx, the High-Dimensional Explorer
• Semantic Vectors
• SenseClusters
• S-Space Package (work in progress)
• Wordspaces (interactive exploration)
• Divisi (semantic networks, tensors & SVD in Python)

• Verb + object noun co-occurrences (tokens) extracted from the British National Corpus: bnc_vobj_filtered.txt.gz (15 MB)

• A 5-million word corpus of Harry Potter fan fiction in lemma_pos format (pre-cleaned): potter_tokens.txt.gz (8.9 MB)

• NEW: DSM for 34,150 English nouns from 2-billion-word ukWaC corpus: ukwac_vobj_S_svd.rda (158 MB)
  • verb-object co-occurrences, features are 3,371 frequent verbs, log-scaled t-score, 300 SVD dimensions
  • nearest-neighbour demo with visualisation: neighbour_demo.R