616 search results - page 1 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
IJCAI
2003
13 years 6 months ago
2003
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
IJCAI
2001
13 years 6 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
MM
2005
ACM
13 years 10 months ago
2005
ACM
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
ACL
2006
13 years 6 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...