Search Results for author:
Found 4 papers, 0 papers with code
An Approach to Inference-Driven Dialogue Management within a Social Chatbot
In the third and final stage, our bot selects a small subset of predicates and translates them into an English response.
What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
Improving user experience of a dialogue system often requires intensive developer effort to read conversation logs, run statistical analyses, and intuit the relative importance of system shortcomings.
Emora: An Inquisitive Social Chatbot Who Cares For You
Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such experience-focused interaction to the current field of conversational AI.
Towards Unified Dialogue System Evaluation: A Comprehensive Analysis of Current Evaluation Protocols
As conversational AI-based dialogue management has increasingly become a trending topic, the need for a standardized and reliable evaluation procedure grows even more pressing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
