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» Named Entity Recognition for Web Content Filtering
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WWW
2007
ACM
14 years 8 months ago
Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly sup...
Marius Pasca
SIGIR
2009
ACM
14 years 2 months ago
Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchies
A weakly-supervised extraction method identifies concepts within conceptual hierarchies, at the appropriate level of specificity (e.g., Bank vs. Institution), to which attribute...
Marius Pasca, Enrique Alfonseca
ACL
2006
13 years 9 months ago
URES : an Unsupervised Web Relation Extraction System
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
Binyamin Rosenfeld, Ronen Feldman
DEXAW
1999
IEEE
105views Database» more  DEXAW 1999»
13 years 12 months ago
Personalizing the Web Using Site Descriptions
The information overload on the Web has created a great need for efficient filtering mechanisms. Many sites (e.g., CNN and Quicken) address this problem by allowing a user to crea...
Vinod Anupam, Yuri Breitbart, Juliana Freire, Bhar...
IUI
2012
ACM
12 years 3 months ago
Effective browsing and serendipitous discovery with an experience-infused browser
In the digital age, users can have perfect recall of their digital experiences. In this paper, we explore how this recall can be leveraged during web browsing. We have built a sys...
Sudheendra Hangal, Abhinay Nagpal, Monica S. Lam