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» A Workbench for Finding Structure in Texts
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ICDAR
2009
IEEE
15 years 4 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
FLAIRS
2009
14 years 7 months ago
Organizing Knowledge as an Ontology of the Domain of Resilient Computing by Means of Natural Language Processing - An Experience
Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or revi...
Algirdas Avizienis, Gintare Grigonyte, Johann Hall...
ICDE
2008
IEEE
204views Database» more  ICDE 2008»
15 years 11 months ago
Keyword Search on Spatial Databases
Many applications require finding objects closest to a specified location that contains a set of keywords. For example, online yellow pages allow users to specify an address and a ...
Ian De Felipe, Vagelis Hristidis, Naphtali Rishe
SEMCO
2009
IEEE
15 years 4 months ago
Understanding Implicit Entities and Events with Getaruns
- Semantic processing represents the new challenge for all applications that require text understanding, as for instance Q/A. In this paper we will highlight the need to couple sta...
Rodolfo Delmonte
CHI
2000
ACM
15 years 1 months ago
Bringing order to the Web: automatically categorizing search results
We developed a user interface that organizes Web search results into hierarchical categories. Text classification algorithms were used to automatically classify arbitrary search r...
Hao Chen, Susan T. Dumais