Title
Persuasive dialogue understanding: The baselines and negative results
Abstract
•This work demonstrates the limitations of a transformer-based neural network coupled with conditional random field for the task of persuasive dialogues.•In this work, we consider persuasion strategy recognition as a sequential tagging problem, using transformers and conditional random field to model context information and inter-speaker dependency.
Year
DOI
Venue
2021
10.1016/j.neucom.2020.11.040
Neurocomputing
Keywords
DocType
Volume
Persuasive dialogue systems,Transformer-based neural networks,Conditional random Field,Persuasive strategy recognition
Journal
431
ISSN
Citations 
PageRank 
0925-2312
1
0.40
References 
Authors
0
5
Name
Order
Citations
PageRank
Hui Chen110.40
Deepanway Ghosal232.47
Navonil Majumder320612.78
Amir Hussain467267.84
Soujanya Poria5133660.98