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113
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ICML
2010
IEEE
15 years 4 months ago
A Language-based Approach to Measuring Scholarly Impact
Identifying the most influential documents in a corpus is an important problem in many fields, from information science and historiography to text summarization and news aggregati...
Sean Gerrish, David M. Blei
153
Voted
DKE
2006
122views more  DKE 2006»
15 years 3 months ago
Sampling, information extraction and summarisation of Hidden Web databases
Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries. The majority of these documents are genera...
Yih-Ling Hedley, Muhammad Younas, Anne E. James, M...
119
Voted
IPM
2008
133views more  IPM 2008»
15 years 3 months ago
Hierarchical summarization for delivering information to mobile devices
Access to information via handheld devices supports decision making away from one's computer. However, limitations include small screens and constrained wireless bandwidth. W...
Jahna Otterbacher, Dragomir R. Radev, Omer Kareem
146
Voted
IJBRA
2007
116views more  IJBRA 2007»
15 years 3 months ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
137
Voted
PVLDB
2008
85views more  PVLDB 2008»
15 years 3 months ago
Scalable ad-hoc entity extraction from text collections
Supporting entity extraction from large document collections is important for enabling a variety of important data analysis tasks. In this paper, we introduce the "ad-hoc&quo...
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaud...