Scholarly Big Data: AI Perspectives, Challenges, and Ideas
Papers from the 2016 AAAI Workshop
Madian Khabsa, C. Lee Giles, Alex D. Wade, Cochairs
AAAI Technical Report WS-16-13
This technical report was published as part of The Workshops of the Thirtieth AAAI Conference on Artificial Intelligence: Technical Reports WS-16-01 – WS-16-15 by The AAAI Press, Palo Alto, California
Contents
Automatic Summary Generation for Scientific Data Charts
Rabah A. Al-Zaidy, Sagnik Ray Choudhury, C. Lee Giles
Enabling Public Access to Non-Open Access Biomedical Literature via Idea-Expression Dichotomy and Fact Extraction
Xiaocheng Huang, Pauline C. Ng
Automatic Construction of Evaluation Sets and Evaluation of Document Similarity Models in Large Scholarly Retrieval Systems
Kriste Krstovski, David A. Smith, Michael J. Kurtz
Encoding Lineage in Scholarly Articles
Sheikh Motahar Naim, Md Abdul Kader, Arnold P. Boedihardjo, M. Shahriar Hossain
A Feasibility Study of an Approach to Extend Research Footprints
Francisco Osuna, Bhanukiran Gurijala, Patricia Esparza, Monika Akbar, Ann Gates
Automatically Augmenting Titles of Research Papers for Better Discovery
Madhavan Pallan, Biplav Srivastava
Analyzing NIH Funding Patterns over Time with Statistical Text Analysis
Jihyun Park, Margaret Blume-Kohout, Ralf Krestel, Eric Nalisnick, Padhraic Smyth
From a Scholarly Big Dataset to a Test Collection for Bibliographic Citation Recommendation
Dwaipayan Roy, Kunal Ray, Mandar Mitra
Modeling Topic-Level Academic Influence in Scientific Literatures
Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang
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