Papers with averaging word embeddings

1 papers
Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations (P18-2)

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Challenge: Verb-noun combinations (VNCs) are ambiguous between literal and idiomatic usages in English.
Approach: They propose and evaluate models for classifying verb-noun combinations as idiomatic or literal, based on averaging word embeddings and a variety of approaches to forming distributed representations.
Outcome: The proposed model outperforms a previous model based on skip-thoughts and averaging word embeddings.

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