A Sentiment Based Non-Factoid Question-Answering Framework

@article{Ye2019ASB,
  title={A Sentiment Based Non-Factoid Question-Answering Framework},
  author={Qiaofei Ye and Kanishka Misra and Hemanth Devarapalli and Julia Taylor Rayz},
  journal={2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)},
  year={2019},
  pages={372-377}
}
With the rapid advances in Artificial Intelligence, a question of emotional intelligence of a system may become as important as its accuracy. This paper investigates whether emotions should be considered for non-factoid “how” Question-Answering systems with the eventual goal of enabling the system to retrieve answers in a more emotionally intelligent way. This study proposes an architecture that adds extended representation of sentiment information to questions and answers, and reports on to… 
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