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20152026
most citedAnnotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction

82 citations · 486 across the 40 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

Analysis of Disfluency in Children's Speech

Trang Tran, Morgan Tinkler, Gary Yeung +2

Disfluencies are prevalent in spontaneous speech, as shown in many studies of adult speech. Less is understood about children's speech, especially in pre-school children who are st…

cs.CL2020

On the Role of Style in Parsing Speech with Neural Models

Trang Tran, Jiahong Yuan, Yang Liu +1

The differences in written text and conversational speech are substantial; previous parsers trained on treebanked text have given very poor results on spontaneous speech. For spoke…

cs.CL2020★ 7 cited

Extracting Summary Knowledge Graphs from Long Documents

Zeqiu Wu, Rik Koncel-Kedziorski, Mari Ostendorf +1

Knowledge graphs capture entities and relations from long documents and can facilitate reasoning in many downstream applications. Extracting compact knowledge graphs containing onl…

cs.CL2020★ 2 cited

A Controllable Model of Grounded Response Generation

Zeqiu Wu, Michel Galley, Chris Brockett +8

Current end-to-end neural conversation models inherently lack the flexibility to impose semantic control in the response generation process, often resulting in uninteresting respon…

cs.CL2020★ 82 cited

Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction

Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen

Social determinants of health (SDOH) affect health outcomes, and knowledge of SDOH can inform clinical decision-making. Automatically extracting SDOH information from clinical text…