pith. sign in

arxiv: 1807.11125 · v2 · pith:CU4NOTY3new · submitted 2018-07-29 · 💻 cs.CL · cs.AI· cs.LG

Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems

classification 💻 cs.CL cs.AIcs.LG
keywords dialoguesystemsbookingbuildingchallengeend-to-endtask-completionwill
0
0 comments X
read the original abstract

This proposal introduces a Dialogue Challenge for building end-to-end task-completion dialogue systems, with the goal of encouraging the dialogue research community to collaborate and benchmark on standard datasets and unified experimental environment. In this special session, we will release human-annotated conversational data in three domains (movie-ticket booking, restaurant reservation, and taxi booking), as well as an experiment platform with built-in simulators in each domain, for training and evaluation purposes. The final submitted systems will be evaluated both in simulated setting and by human judges.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual-Systems

    cs.CL 2025-09 unverdicted novelty 6.0

    DyBBT proposes a cognitive dual-system dialog policy with a bandit-inspired meta-controller that dynamically balances exploration based on real-time states and visitation counts.