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pro vyhledávání: '"Lucy Lu Wang"'
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) Text Technology Type(s) Natural Language
Externí odkaz:
https://doaj.org/article/25823f24da1c4b53b29fbdf801fa6761
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10, Pp 376-392 (2022)
AbstractAccurately extracting structured content from PDFs is a critical first step for NLP over scientific papers. Recent work has improved extraction accuracy by incorporating elementary layout information, for example, each token’s 2D position o
Externí odkaz:
https://doaj.org/article/8391c75e305f49999ff12c1d2cd19316
Autor:
Lucy Lu Wang, G. Thomas Hayman, Jennifer R. Smith, Monika Tutaj, Mary E. Shimoyama, John H. Gennari
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-11 (2019)
Abstract Background To improve the outcomes of biological pathway analysis, a better way of integrating pathway data is needed. Ontologies can be used to organize data from disparate sources, and we leverage the Pathway Ontology as a unifying ontolog
Externí odkaz:
https://doaj.org/article/a48580a1c17f422ba60351f47a585c74
Autor:
Anshul Kanakia, Kuansan Wang, Yuxiao Dong, Boya Xie, Kyle Lo, Zhihong Shen, Lucy Lu Wang, Chiyuan Huang, Darrin Eide, Sebastian Kohlmeier, Chieh-Han Wu
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 5 (2020)
On the behest of the Office of Science and Technology Policy in the White House, six institutions, including ours, have created an open research dataset called COVID-19 Research Dataset (CORD-19) to facilitate the development of question-answering sy
Externí odkaz:
https://doaj.org/article/d101f9223242447b988af9a2fcd79a64
Publikováno v:
ACM Transactions on Computer-Human Interaction (TOCHI); Oct2023, Vol. 30 Issue 5, p352-389, 38p
Publikováno v:
ACM Transactions on Computer-Human Interaction.
When seeking information not covered in patient-friendly documents, healthcare consumers may turn to the research literature. Reading medical papers, however, can be a challenging experience. To improve access to medical papers, we explore four featu
Autor:
Michael Cafarella, Michael Anderson, Iz Beltagy, Arie Cattan, Sarah Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny Vo‐Phamhi, Anna Zeng, Jiayun Zou
Publikováno v:
AI Magazine; Vol. 43 No. 1: Spring 2022; 59-68
The past decade has witnessed a growth in the use of knowledge graph technologies for advanced data search, data integration, and query-answering applications. The leading example of a public, general-purpose open knowledge network (aka knowledge gra
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Publikováno v:
Communications of the ACM. 64:78-84
A large-scale, up-to-date analysis of Computer Science literature (11.8M papers through 2019) reveals that, if trends from the last 50 years continue, parity between the number of male and female authors will not be reached in this century. In contra
Autor:
Evie Yu-Yen Cheng, Madeleine van Zuylen, Jonathan Bragg, Bailey Kuehl, Daniel S. Weld, Isabel Cachola, Linda Wagner, Lucy Lu Wang, Chelsea Haupt, Matt Latzke
Publikováno v:
ASSETS
We present SciA11y, a system that renders inaccessible scientific paper PDFs into HTML. SciA11y uses machine learning models to extract and understand the content of scientific PDFs, and reorganizes the resulting paper components into a form that bet