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20152026
most citedA Deep Reinforcement Learning Chatbot

200 citations · 407 across the 22 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021

Database Search Results Disambiguation for Task-Oriented Dialog Systems

Kun Qian, Ahmad Beirami, Satwik Kottur +5

As task-oriented dialog systems are becoming increasingly popular in our lives, more realistic tasks have been proposed and explored. However, new practical challenges arise. For i…

cs.CL2021★ 4 cited

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics

Hyundong Cho, Chinnadhurai Sankar, Christopher Lin +5

Recent works that revealed the vulnerability of dialogue state tracking (DST) models to distributional shifts have made holistic comparisons on robustness and qualitative analyses…

cs.LG2021★ 3 cited

Robustness through Data Augmentation Loss Consistency

Tianjian Huang, Shaunak Halbe, Chinnadhurai Sankar +5

While deep learning through empirical risk minimization (ERM) has succeeded at achieving human-level performance at a variety of complex tasks, ERM is not robust to distribution sh…

cs.CL2021★ 1 cited

Annotation Inconsistency and Entity Bias in MultiWOZ

Kun Qian, Ahmad Beirami, Zhouhan Lin +4

MultiWOZ is one of the most popular multi-domain task-oriented dialog datasets, containing 10K+ annotated dialogs covering eight domains. It has been widely accepted as a benchmark…

cs.AI2021★ 1 cited

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue

Hung Le, Chinnadhurai Sankar, Seungwhan Moon +3

A video-grounded dialogue system is required to understand both dialogue, which contains semantic dependencies from turn to turn, and video, which contains visual cues of spatial a…