@inproceedings{natarajan-nargund-2021-mre,
title = "{MRE} : Multi Relationship Extractor for Persona based Empathetic Conversational Model",
author = "Natarajan, Bharatram and
Nargund, Abhijit",
editor = "Bandyopadhyay, Sivaji and
Devi, Sobha Lalitha and
Bhattacharyya, Pushpak",
booktitle = "Proceedings of the 18th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2021",
address = "National Institute of Technology Silchar, Silchar, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2021.icon-main.21",
pages = "173--179",
abstract = "Artificial intelligence(AI) has come a long way in aiding the user requirements in many fields and domains. However, the current AI systems do not generate human- like response for user query. Research in these areas have started gaining traction recently with explorations on persona or empathy based response selection. But the combination of both the parameters in an open domain haven{'}t been explored in detail by the research community. The current work highlights the effect of persona on empathetic response. This research paper concentrates on improving the response selection model for PEC dataset, containing both persona information and empathetic response. This is achieved using an enhanced multi relationship extractor and phrase based information for the selection of response.",
}
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%0 Conference Proceedings
%T MRE : Multi Relationship Extractor for Persona based Empathetic Conversational Model
%A Natarajan, Bharatram
%A Nargund, Abhijit
%Y Bandyopadhyay, Sivaji
%Y Devi, Sobha Lalitha
%Y Bhattacharyya, Pushpak
%S Proceedings of the 18th International Conference on Natural Language Processing (ICON)
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C National Institute of Technology Silchar, Silchar, India
%F natarajan-nargund-2021-mre
%X Artificial intelligence(AI) has come a long way in aiding the user requirements in many fields and domains. However, the current AI systems do not generate human- like response for user query. Research in these areas have started gaining traction recently with explorations on persona or empathy based response selection. But the combination of both the parameters in an open domain haven’t been explored in detail by the research community. The current work highlights the effect of persona on empathetic response. This research paper concentrates on improving the response selection model for PEC dataset, containing both persona information and empathetic response. This is achieved using an enhanced multi relationship extractor and phrase based information for the selection of response.
%U https://aclanthology.org/2021.icon-main.21
%P 173-179
Markdown (Informal)
[MRE : Multi Relationship Extractor for Persona based Empathetic Conversational Model](https://aclanthology.org/2021.icon-main.21) (Natarajan & Nargund, ICON 2021)
ACL