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ICASSP
2008
IEEE
13 years 11 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
SOCIALCOM
2010
13 years 2 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
AAAI
1998
13 years 6 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
AI
2000
Springer
13 years 4 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
JCST
2000
124views more  JCST 2000»
13 years 4 months ago
Distributed and Cooperative Information Retrieval on the World Wide Web
: A mass of heterogeneous, distributed and dynamic information on the World Wide Web (the Web) has resulted in "information overload". It's an important and urgent r...
Jicheng Wang, Xiangyu Jin, Yang Xiaojiang, Fuyan Z...