Search Results for author: Jonathan Bragg

Found 5 papers, 2 papers with code

From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks

no code implementations21 Apr 2022 Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg

To improve the discovery experience we introduce multiple new methods for \em augmenting recommendations with textual relevance messages that highlight knowledge-graph connections between recommended papers and a user's publication and interaction history.

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing

1 code implementation28 Feb 2022 Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo

When seeking information not covered in patient-friendly documents, like medical pamphlets, healthcare consumers may turn to the research literature.

FLEX: Unifying Evaluation for Few-Shot NLP

2 code implementations NeurIPS 2021 Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy

Few-shot NLP research is highly active, yet conducted in disjoint research threads with evaluation suites that lack challenging-yet-realistic testing setups and fail to employ careful experimental design.

Experimental Design Few-Shot Learning +1

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

no code implementations17 Jan 2021 Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

Leaderboards have eased model development for many NLP datasets by standardizing their evaluation and delegating it to an independent external repository.

Machine Translation Reading Comprehension +2

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