conference-paper

Neural Approaches to Conversational AI

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Abstract

This tutorial surveys neural approaches to conversational AI that were developed in the last few years. We group conversational systems into three categories: (1) question answering agents, (2) task-oriented dialogue agents, and (3) social bots. For each category, we present a review of state-of-the-art neural approaches, draw the connection between neural approaches and traditional symbolic approaches, and discuss the progress we have made and challenges we are facing, using specific systems and models as case studies.

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Publication details

DOI
10.1145/3209978.3210183
OpenAlex
W2810840719
Document type
conference-paper
Language
EN
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