Extracting Latent Beliefs and Using Epistemic Reasoning to Tailor a Chatbot

Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat

IJCAI 2018 pp. 5853-5855

doi:10.24963/IJCAI.2018/860 /ijcai/2018/sangroya2018ijcai-extracting/

Abstract

During dialog with a customer for addressing his/her complaint the chatbot may pose questions or observations based on its underlying model. Sometimes the questions or observations posed may not be relevant given the nature of complaint and the current set of beliefs that the customer holds. In this paper we present a framework to build conversation system that addresses customer complaints in a meaningful manner using domain understanding, opinion analysis and epistemic reasoning. Extraction of latent beliefs assists in performing epistemic reasoning to maintain a meaningful conversation with the customer.

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Cite

Text

Sangroya et al. "Extracting Latent Beliefs and Using Epistemic Reasoning to Tailor a Chatbot." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/860

Markdown

[Sangroya et al. "Extracting Latent Beliefs and Using Epistemic Reasoning to Tailor a Chatbot." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/sangroya2018ijcai-extracting/) doi:10.24963/IJCAI.2018/860

BibTeX

@inproceedings{sangroya2018ijcai-extracting,
  title     = {{Extracting Latent Beliefs and Using Epistemic Reasoning to Tailor a Chatbot}},
  author    = {Sangroya, Amit and Anantaram, C. and Saini, Pratik and Rawat, Mrinal},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5853-5855},
  doi       = {10.24963/IJCAI.2018/860},
  url       = {https://mlanthology.org/ijcai/2018/sangroya2018ijcai-extracting/}
}