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115
Voted
JCDL
2011
ACM
218views Education» more  JCDL 2011»
14 years 3 months ago
Retrieving attributes using web tables
In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we ...
Arlind Kopliku, Karen Pinel-Sauvagnat, Mohand Boug...
106
Voted
WWW
2005
ACM
16 years 1 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
SCIENTOMETRICS
2010
122views more  SCIENTOMETRICS 2010»
14 years 11 months ago
A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar
Abstract. Given the current availability of different bibliometric indicators and of production and citation data sources, the following two questions immediately arise: do the in...
Massimo Franceschet
116
Voted
FLAIRS
2008
15 years 2 months ago
Unsupervised Learning of General-Specific Noun Relations from the Web
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
Gaël Dias, Raycho Mukelov, Guillaume Cleuziou
93
Voted
PAKDD
2010
ACM
179views Data Mining» more  PAKDD 2010»
15 years 5 months ago
Answer Diversification for Complex Question Answering on the Web
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weig...
Palakorn Achananuparp, Xiaohua Hu, Tingting He, Ch...