32 citations · 202 across the 82 of their papers we have counts for
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cs.CL2016★ 13 cited
Automatic Labelling of Topics with Neural Embeddings
Shraey Bhatia, Jey Han Lau, Timothy Baldwin
Topics generated by topic models are typically represented as list of terms. To reduce the cognitive overhead of interpreting these topics for end-users, we propose labelling a top…
cs.CL2016★ 10 cited
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Jey Han Lau, Timothy Baldwin
Recently, Le and Mikolov (2014) proposed doc2vec as an extension to word2vec (Mikolov et al., 2013a) to learn document-level embeddings. Despite promising results in the original p…