Reasoning and Learning for Human-Machine Dialogues
Papers from the 2018 AAAI Workshop
AAAI Technical Report WS-18-13
This technical report was published as part of The Workshops of the
The Thirty-Second AAAI Conference on Artificial Intelligence by The AAAI Press, Palo Alto, California
794 pp., illus, references.
ISBN 978-1-57735-801-5
Contents
An Inherently Explainable Model for Video Activity Interpretation / 688
Sathyanarayanan N. Aakur, Fillipe DM de Souza, Sudeep Sarkar
Safebot: A Safe Collaborative Chatbot / 695
Merav Chkroun, Amos Azaria
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling / 699
Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
Building Dialogue Structure from Discourse Tree of a Question / 706
Boris Galitsky
Specifying and Implementing Multi-Party Conversation Rules with Finite-State-Automata / 713
Maira Gatti de Bayser, Melina Alberio Guerra, Paulo Cavalin, Claudio Pinhanez
Gated Orthogonal Recurrent Units: On Learning to Forget / 720
Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
Making Personalized Recommendation through Conversation: Architecture Design and Recommendation Methods / 727
Sunhwan Lee, Robert Moore, Guang-Jie Ren, Raphael Arar, Shun Jiang
Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots / 731
Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat
Knowledge-Graph Driven Information State Approach to Dialog / 735
Svetlana Stoyanchev, Michael Johnston
Production Ready Chatbots: Generate if Not Retrieve / 739
Aniruddha Tammewar, Monik Pamecha, Chirag Jain, Apurva Nagvenkar, Krupal Modi
State Tracking Networks for Dialog State Tracking / 746
Xuguang Wang, Xingyi Cheng, Jie Zhou, Wei Xu
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