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20182022
most citedTREC-COVID: Constructing a Pandemic Information Retrieval Test Collection

30 citations · 63 across the 10 of their papers we have counts for

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17 papers · 1 filter

cs.CL20224 cited

SciFact-Open: Towards open-domain scientific claim verification

David Wadden, Kyle Lo, Bailey Kuehl +4

While research on scientific claim verification has led to the development of powerful systems that appear to approach human performance, these approaches have yet to be tested in…

cs.CL2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts

Sonia K. Murthy, Kyle Lo, Daniel King +7

Systems that can automatically define unfamiliar terms hold the promise of improving the accessibility of scientific texts, especially for readers who may lack prerequisite backgro…

cs.CL20221 cited

Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Dustin Wright, David Wadden, Kyle Lo +4

Automated scientific fact checking is difficult due to the complexity of scientific language and a lack of significant amounts of training data, as annotation requires domain exper…

cs.CL20213 cited

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

Anne Lauscher, Brandon Ko, Bailey Kuehl +4

Citation context analysis (CCA) is an important task in natural language processing that studies how and why scholars discuss each others' work. Despite decades of study, tradition…

cs.CL20213 cited

Overview and Insights from the SciVer Shared Task on Scientific Claim Verification

David Wadden, Kyle Lo

We present an overview of the SciVer shared task, presented at the 2nd Scholarly Document Processing (SDP) workshop at NAACL 2021. In this shared task, systems were provided a scie…

cs.CL20215 cited

FLEX: Unifying Evaluation for Few-Shot NLP

Jonathan Bragg, Arman Cohan, Kyle Lo +1

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 care…