Papers with automated persuasiveness prediction

1 papers
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness (2020.acl-main)

Copied to clipboard

Challenge: Several studies have examined persuasiveness in debates by probing the main factors for establishing persuasion, particularly regarding the role of linguistic features of debaters' arguments.
Approach: They propose to model debaters’ prior beliefs, interests, and personality traits based on their previous activity without dependence on explicit user profiles or questionnaires.
Outcome: The proposed model improves persuasiveness prediction and debater resistance to persuasion.

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