426 citations · 1.3k across the 17 of their papers we have counts for
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cs.CL2017
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents
Edgar Altszyler, Mariano Sigman, Diego Fernandez Slezak
Latent Semantic Analysis (LSA) and Word2vec are some of the most widely used word embeddings. Despite the popularity of these techniques, the precise mechanisms by which they acqui…
cs.CL2016★ 83 cited
Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database
Edgar Altszyler, Mariano Sigman, Sidarta Ribeiro +1
Word embeddings have been extensively studied in large text datasets. However, only a few studies analyze semantic representations of small corpora, particularly relevant in single…