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tutorial

Neural Approaches to Conversational AI

Published:27 June 2018Publication History

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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  • Published in

    cover image ACM Conferences
    SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
    June 2018
    1509 pages
    ISBN:9781450356572
    DOI:10.1145/3209978

    Copyright © 2018 Owner/Author

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 27 June 2018

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    Qualifiers

    • tutorial

    Acceptance Rates

    SIGIR '18 Paper Acceptance Rate86of409submissions,21%Overall Acceptance Rate792of3,983submissions,20%

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