Kyle Lo
Kyle Lo
Allen Institute for Artificial Intelligence
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
SciBERT: A Pretrained Language Model for Scientific Text
I Beltagy, K Lo, A Cohan
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
577*2019
CORD-19: The Covid-19 Open Research Dataset.
K Lo, Y Chandrasekhar, R Reas, J Yang, D Eide, K Funk, R Kinney, Z Liu, ...
Arxiv, 2020
221*2020
CORD-19: The Covid-19 Open Research Dataset
LL Wang, K Lo, Y Chandrasekhar, R Reas, J Yang, D Eide, K Funk, ...
arXiv preprint arXiv:2004.10706, 2020
2212020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ...
arXiv preprint arXiv:2004.10964, 2020
2112020
Construction of the Literature Graph in Semantic Scholar
W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ...
arXiv preprint arXiv:1805.02262, 2018
1452018
S2orc: The semantic scholar open research corpus
K Lo, LL Wang, M Neumann, R Kinney, DS Weld
Proceedings of ACL, 2020
572020
TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19
K Roberts, T Alam, S Bedrick, D Demner-Fushman, K Lo, I Soboroff, ...
Journal of the American Medical Informatics Association, 2020
462020
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
E Voorhees, T Alam, S Bedrick, D Demner-Fushman, WR Hersh, K Lo, ...
arXiv preprint arXiv:2005.04474, 2020
382020
Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction
S Feldman, W Ammar, K Lo, E Trepman, M van Zuylen, O Etzioni
JAMA network open 2 (7), e196700-e196700, 2019
332019
Fact or Fiction: Verifying Scientific Claims
D Wadden, K Lo, LL Wang, S Lin, M van Zuylen, A Cohan, H Hajishirzi
arXiv preprint arXiv:2004.14974, 2020
252020
Combining Distant and Direct Supervision for Neural Relation Extraction
I Beltagy, K Lo, W Ammar
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
212019
Ontology alignment in the biomedical domain using entity definitions and context
LL Wang, C Bhagavatula, M Neumann, K Lo, C Wilhelm, W Ammar
arXiv preprint arXiv:1806.07976, 2018
212018
Citation Count Analysis for Papers with Preprints
S Feldman, K Lo, W Ammar
arXiv preprint arXiv:1805.05238, 2018
112018
TLDR: Extreme Summarization of Scientific Documents
I Cachola, K Lo, A Cohan, DS Weld
arXiv preprint arXiv:2004.15011, 2020
72020
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow
S Gabriel, A Bosselut, A Holtzman, K Lo, A Celikyilmaz, Y Choi
arXiv preprint arXiv:1907.01272, 2019
72019
Citation Text Generation
K Luu, R Koncel-Kedziorski, K Lo, I Cachola, NA Smith
arXiv preprint arXiv:2002.00317, 2020
52020
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions
D Kang, A Head, R Sidhu, K Lo, DS Weld, MA Hearst
arXiv preprint arXiv:2010.05129, 2020
32020
Text mining approaches for dealing with the rapidly expanding literature on COVID-19
LL Wang, K Lo
Briefings in Bioinformatics, 2020
22020
Mitigating biases in cord-19 for analyzing covid-19 literature
A Kanakia, K Wang, Y Dong, B Xie, K Lo, Z Shen, LL Wang, C Huang, ...
Frontiers in Research Metrics and Analytics 5, 2020
22020
Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols
A Head, K Lo, D Kang, R Fok, S Skjonsberg, DS Weld, MA Hearst
arXiv preprint arXiv:2009.14237, 2020
22020
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Articles 1–20