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An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation.

Rep4NLP@ACL, (2016): 78-86

Cited by: 98|Views27
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Abstract

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 paper, others have struggled to reproduce those results. This paper presents a rigorous empirical evaluation of doc2vec over two tasks. We compare doc2vec to two...More

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