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» A Workbench for Finding Structure in Texts
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ICDAR
2009
IEEE
15 years 6 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 9 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»
16 years 1 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 6 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 4 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