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20182020
most citedThe Eighth Dialog System Technology Challenge

53 citations · 120 across the 7 of their papers we have counts for

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cs.CL202037 cited

Overview of the Ninth Dialog System Technology Challenge: DSTC9

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro +36

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in…

cs.CL20201 cited

Video Question Answering on Screencast Tutorials

Wentian Zhao, Seokhwan Kim, Ning Xu +1

This paper presents a new video question answering task on screencast tutorials. We introduce a dataset including question, answer and context triples from the tutorial videos for…

cs.CL2020

Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access

Seokhwan Kim, Mihail Eric, Karthik Gopalakrishnan +3

Most prior work on task-oriented dialogue systems are restricted to a limited coverage of domain APIs, while users oftentimes have domain related requests that are not covered by t…

cs.CL2019

TutorialVQA: Question Answering Dataset for Tutorial Videos

Anthony Colas, Seokhwan Kim, Franck Dernoncourt +3

Despite the number of currently available datasets on video question answering, there still remains a need for a dataset involving multi-step and non-factoid answers. Moreover, rel…

cs.CL201953 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.CL20194 cited

Analyzing Sentence Fusion in Abstractive Summarization

Logan Lebanoff, John Muchovej, Franck Dernoncourt +4

While recent work in abstractive summarization has resulted in higher scores in automatic metrics, there is little understanding on how these systems combine information taken from…