The word2vec tool (https://code.google.com/p/word2vec/) processes a large text corpus and maps the words of the corpus to vectors of a continuous space. The word vectors can then be used, for example, to estimate the relatedness of two words or to perform query expansion. We applied word2vec to a corpus of 10,876,004 English abstracts of biomedical articles from PubMed. The resulting vectors of 1,701,632 distinct words (types) are now publicly available from http://bioasq.lip6.fr/tools/BioASQword2vec/. File size: 1.3GB (compressed), 3.5GB (uncompressed). More information here.
BioASQ Releases Continuous Space Word Vectors Obtained by Applying Word2Vec to PubMed Abstracts
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- BioASQ was supported by the National Library of Medicine of the National Institutes of Health under award number R13LM012214. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
- The research leading to these results has received funding from the European Commission's Seventh Framework Programme (FP7/2007-2013, ICT-2011.4.4(d), Intelligent Information Management, Targeted Competition Framework) under grant agreement n° 318652.