Papers with SARC dataset

1 papers
Representing Social Media Users for Sarcasm Detection (D18-1)

Copied to clipboard

Challenge: Existing annotated corpus of Reddit comments is limited by available annotation methods.
Approach: They propose a Bayesian approach that directly represents authors’ propensities to be sarcastic and a dense embedding approach that can learn interactions between the author and the text.
Outcome: The proposed approach performs better in homogeneous contexts, whereas the dense embeddings prove valuable in more diverse contexts.

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