De-Conflated Semantic Representations

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De-conflated Semantic Representations

Sense representations generated using the algorithm introduced in:


Semantic representations for around 130K word senses in WordNet 3.0:

The sense representations live in the same 300-dimensional semantic space of words and phrases trained by Word2vec on the Google News Corpus (direct link).

Alternatively, you can download the 50-dimensional vectors that live in the Wikipedia 2014 + Gigaword 5 space of GloVe:

Data format

sense_ID    <a real valued vector>

where sense_IDs are in the form word#1, word#2, ..., word#n (where n is the polysemy of the word).

Mapping files