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Multi-Sense embeddings through a word sense disambiguation process

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  • Title:
    Multi-Sense embeddings through a word sense disambiguation process
  • Author: Ruas, Terry ; Grosky, William ; Aizawa, Akiko
  • Subjects: MSSA ; multi-sense embeddings ; natural language processing ; synset ; wikipedia dump ; word2vec
  • Description: This data set is a collection of word similarity benchmarks (RG65, MEN3K, Wordsim 353, simlex999, SCWS, yp130, simverb3500) in their original format and converted into a cosine similarity scale. In addition, we have two Wikpedia Dumps from 2010 (April) and 2018 (January) in which we provide the original format (raw words), converted using the techniques described in the paper (MSSA, MSSA-D and MSSA-NR) (title in this repository), and also the word embeddings models for 300d and 1000d using a word2vec implementation. A readme.txt is provided with more details for each file.
  • Language: English
  • Source: Deep Blue Data at the University of Michigan
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