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Most Influential SIGIR 2018 Paper · 2026-03 edition

Neural Approaches To Conversational AI

Jianfeng Gao; Michel Galley; Lihong Li

Venue
ACM SIGIR Conference (SIGIR) 2018
Recognition
Most Influential SIGIR 2018 Paper (Rank No. 3)
Edition
2026-03
Impact factor
7
Certificate ID
e2a4c3310725665b

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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