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