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Kyle Lo

Allen Institute for AI

Incorporating Visual Layout Structures for Scientific Text Classification

Jun 21, 2021
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey

* 13 pages, 4 figures, 6 tables 

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A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

May 07, 2021
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner

* Accepted at NAACL 2021; Project page: 

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Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID

Apr 19, 2021
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, William R Hersh

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

Oct 11, 2020
Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst

* Workshop on Scholarly Document Processing (SDP), EMNLP 2020 

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Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols

Sep 29, 2020
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst

* 16 pages, 14 figures, 1 table. For associated video, see 

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Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

May 05, 2020
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith

* ACL 2020 

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TLDR: Extreme Summarization of Scientific Documents

May 02, 2020
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld

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Fact or Fiction: Verifying Scientific Claims

May 01, 2020
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi

* 16 pages (including appendices), 10 figures, 7 tables. GitHub: 

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CORD-19: The Covid-19 Open Research Dataset

Apr 25, 2020
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier

* 10 pages, 3 figures 

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Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation

Mar 09, 2020
Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld

* 9 pages, 4 figures 

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Citation Text Generation

Feb 02, 2020
Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith

* 10 pages 

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GORC: A large contextual citation graph of academic papers

Nov 07, 2019
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Dan S. Weld

* 12 pages, 2 figures, 5 appendices 

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Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow

Jul 02, 2019
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi

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SciBERT: Pretrained Contextualized Embeddings for Scientific Text

Mar 26, 2019
Iz Beltagy, Arman Cohan, Kyle Lo


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Improving Distant Supervision with Maxpooled Attention and Sentence-Level Supervision

Oct 30, 2018
Iz Beltagy, Kyle Lo, Waleed Ammar

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Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context

Jun 20, 2018
Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar

* ACL 2018 BioNLP workshop 

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Construction of the Literature Graph in Semantic Scholar

May 06, 2018
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni

* To appear in NAACL 2018 industry track 

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