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19952024
most citedCORD-19: The COVID-19 Open Research Dataset

584 citations · 1.3k across the 49 of their papers we have counts for

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Showing 2021 · cs.CLShow all

5 papers · 2 filters

cs.CL2021

A Search Engine for Discovery of Scientific Challenges and Directions

Dan Lahav, Jon Saad Falcon, Bailey Kuehl +8

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of im…

cs.CL2021

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

Zejiang Shen, Kyle Lo, Lucy Lu Wang +3

Accurately extracting structured content from PDFs is a critical first step for NLP over scientific papers. Recent work has improved extraction accuracy by incorporating elementary…

cs.CL2021★ 11 cited

SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts

Arie Cattan, Sophie Johnson, Daniel Weld +4

Determining coreference of concept mentions across multiple documents is a fundamental task in natural language understanding. Previous work on cross-document coreference resolutio…

cs.CL2021★ 2 cited

GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation

Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg +5

While often assumed a gold standard, effective human evaluation of text generation remains an important, open area for research. We revisit this problem with a focus on producing c…

cs.CL2021★ 22 cited

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer +1

While counterfactual examples are useful for analysis and training of NLP models, current generation methods either rely on manual labor to create very few counterfactuals, or only…