Papers with emotion-enriched word representations

1 papers
Learning Emotion-enriched Word Representations (C18-1)

Copied to clipboard

Challenge: Existing word representations based on distributional hypothesis do not provide accurate representations of emotions.
Approach: They propose a method to obtain emotion-enriched word representations by remote supervision using a large training dataset of text documents and two recurrent neural network architectures.
Outcome: The proposed method outperforms competing general-purpose and affective representations on two tasks.

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