Papers with domain-sensitive word embeddings

1 papers
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings (P18-1)

Copied to clipboard

Challenge: Existing word embeddings cannot produce domain-sensitive embeddables due to domain-specific nature of words.
Approach: They propose a method for learning domain-sensitive and sentiment-aware embeddings that captures sentiment semantics and domain sensitivity of individual words.
Outcome: The proposed method can produce domain-common embeddings and domain-specific embedds.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations