Document-Level Definition Detection in Scholarly Documents: Existing
Models, Error Analyses, and Future Directions

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions

11 October 2020

Kyle Lo

Marti A. Hearst

Papers citing "Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions"

5 / 5 papers shown

Title
Lean-STaR: Learning to Interleave Thinking and Proving Haohan Lin Zhiqing Sun Yiming Yang Sean Welleck ReLM LRM 75 26 0 14 Jul 2024
Generating Topic Pages for Scientific Concepts Using Scientific Publications H. Azarbonyad Z. Afzal G. Tsatsaronis 33 2 0 24 Apr 2023
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces Kyle Lo Joseph Chee Chang Andrew Head Jonathan Bragg Amy X. Zhang ... Caroline M Wu Jiangjiang Yang Angele Zamarron Marti A. Hearst Daniel S. Weld 37 19 0 25 Mar 2023
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts Sonia K. Murthy Kyle Lo Daniel King Chandra Bhagavatula Bailey Kuehl Sophie Johnson Jon Borchardt Daniel S. Weld Tom Hope Doug Downey 40 12 0 14 May 2022
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols Andrew Head Kyle Lo Dongyeop Kang Raymond Fok Sam Skjonsberg Daniel S. Weld Marti A. Hearst 42 89 0 29 Sep 2020