Papers by Maksim Tkachenko

1 papers
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings (P18-1)

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Challenge: Existing word embedding methods for natural language processing are limited in their ability to produce dense word embeds.
Approach: They propose a word embedding SentiVec which is infused with sentiment information from a lexical resource and outperforms baselines on subjectivity-sensitive tasks.
Outcome: The proposed word embedding SentiVec outperforms baselines on subjectivity-sensitive tasks.

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