296 search results - page 35 / 60 » Extractive Summarization Using Supervised and Semi-Supervise... |
120
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
The goal of this work is to automatically learn a large
number of British Sign Language (BSL) signs from TV
broadcasts. We achieve this by using the supervisory information
avai...
AINA
2007
IEEE
15 years 4 months ago
2007
IEEE
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
101
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DL
1999
Springer
15 years 2 months ago
1999
Springer
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
COLING
2002
14 years 9 months ago
2002
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...