aaai 2016 论文列表Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. |
Modeling Topic-Level Academic Influence in Scientific Literatures.
From a Scholarly Big Dataset to a Test Collection for Bibliographic Citation Recommendation.
Analyzing NIH Funding Patterns over Time with Statistical Text Analysis.
Automatically Augmenting Titles of Research Papers for Better Discovery.
A Feasibility Study of an Approach to Extend Research Footprints.
Encoding Lineage in Scholarly Articles.
Automatic Construction of Evaluation Sets and Evaluation of Document Similarity Models in Large Scholarly Retrieval Systems.
Enabling Public Access to Non-Open Access Biomedical Literature via Idea-Expression Dichotomy and Fact Extraction.
Automatic Summary Generation for Scientific Data Charts.