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» Using parsimonious language models on web data
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ICML
2008
IEEE
16 years 5 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
CIKM
2009
Springer
15 years 11 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
WWW
2007
ACM
16 years 5 months ago
Collaboratively Building Structured Knowledge with DBin: From del.icio.us Tags to an "RDFS Folksonomy"
DBin is a Semantic Web application that enables groups of users with a common interest to cooperatively create semantically structured knowledge bases. These user groups, which we...
Giovanni Tummarello, Christian Morbidoni
140
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ICITA
2005
IEEE
15 years 10 months ago
Searching the Web: From Keywords to Semantic Queries
Within the emergent Semantic Web framework, the use of traditional web search engines based on keywords provided by the users is not adequate anymore. Instead, new methods based o...
José A. Royo, Eduardo Mena, Jorge Bernad, A...
AAAI
2008
15 years 6 months ago
Predicting Appropriate Semantic Web Terms from Words
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write com...
Lushan Han, Tim Finin