Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Darrin Eide"'
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
Autor:
Yuxiao Dong, Lucy Lu Wang, Kuansan Wang, Kyle Lo, Zhihong Shen, Darrin Eide, Boya Xie, Chieh-Han Wu, Anshul Kanakia, Chiyuan Huang, Sebastian Kohlmeier
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 5 (2020)
Frontiers in Research Metrics and Analytics
Frontiers in Research Metrics and Analytics
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
Autor:
Lucy Lu, Wang, Kyle, Lo, Yoganand, Chandrasekhar, Russell, Reas, Jiangjiang, Yang, Doug, Burdick, Darrin, Eide, Kathryn, Funk, Yannis, Katsis, Rodney, Kinney, Yunyao, Li, Ziyang, Liu, William, Merrill, Paul, Mooney, Dewey, Murdick, Devvret, Rishi, Jerry, Sheehan, Zhihong, Shen, Brandon, Stilson, Alex, Wade, Kuansan, Wang, Nancy Xin Ru, Wang, Chris, Wilhelm, Boya, Xie, Douglas, Raymond, Daniel S, Weld, Oren, Etzioni, Sebastian, Kohlmeier
Publikováno v:
ArXiv
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0b1574da53920e5d5bae9bc506a71bd
Autor:
Zhihong Shen, Kuansan Wang, Chiyuan Huang, Alvin Chen, Yuxiao Dong, Darrin Eide, Richard Rogahn, Junjie Qian, Chieh-Han Wu, Anshul Kanakia
Publikováno v:
Frontiers in Big Data
Since the relaunch of Microsoft Academic Services (MAS) 4 years ago, scholarly communications have undergone dramatic changes: more ideas are being exchanged online, more authors are sharing their data, and more software tools used to make discoverie
We present the design and methodology for the large scale hybrid paper recommender system used by Microsoft Academic. The system provides recommendations for approximately 160 million English research papers and patents. Our approach handles incomple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0517c0d2664180422f6c797acc8f57e8
Publikováno v:
WWW (Companion Volume)
In this paper we describe a new release of a Web scale entity graph that serves as the backbone of Microsoft Academic Service (MAS), a major production effort with a broadened scope to the namesake vertical search engine that has been publicly availa