activity
20122022
most citedA Large-Scale Corpus for Conversation Disentanglement

91 citations · 275 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 53 cited

The Eighth Dialog System Technology Challenge

Seokhwan Kim, Michel Galley, Chulaka Gunasekara +18

This paper introduces the Eighth Dialog System Technology Challenge. In line with recent challenges, the eighth edition focuses on applying end-to-end dialog technologies in a prag…

cs.CL2019★ 44 cited

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

Tao Yu, Rui Zhang, He Yang Er +21

We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems. It consists of 30k+ turns plus 10k+ annotated SQL queries, obtained f…

cs.CL2019

HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop

Yiwei Yang, Eser Kandogan, Yunyao Li +2

While the role of humans is increasingly recognized in machine learning community, representation of and interaction with models in current human-in-the-loop machine learning (HITL…

cs.HC2019★ 3 cited

A Case for Backward Compatibility for Human-AI Teams

Gagan Bansal, Besmira Nushi, Ece Kamar +3

AI systems are being deployed to support human decision making in high-stakes domains. In many cases, the human and AI form a team, in which the human makes decisions after reviewi…

cs.CL2019★ 27 cited

Dialog System Technology Challenge 7

Koichiro Yoshino, Chiori Hori, Julien Perez +14

This paper introduces the Seventh Dialog System Technology Challenges (DSTC), which use shared datasets to explore the problem of building dialog systems. Recently, end-to-end dial…