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» Extracting Important Sentences with Support Vector Machines
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IMCSIT
2010
13 years 4 months ago
The development features of the face recognition system
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...
Rauf Sadykhov, Igor Frolov
NAACL
2004
13 years 9 months ago
Evaluating Multiple Aspects of Coherence in Student Essays
CriterionSM Online Essay Evaluation Service includes a capability that labels sentences in student writing with essay-based discourse elements (e.g., thesis statements). We descri...
Derrick Higgins, Jill Burstein, Daniel Marcu, Clau...
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote ho
Background: Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features. This uniqu...
Inkyung Jung, Jaehyung Lee, Soo-Young Lee, Dongsup...
LREC
2008
95views Education» more  LREC 2008»
13 years 9 months ago
Application of Resource-based Machine Translation to Real Business Scenes
As huge quantities of documents have become available, services using natural language processing technologies trained by huge corpora have emerged, such as information retrieval ...
Hitoshi Isahara, Masao Utiyama, Eiko Yamamoto, Aki...
AAAI
2012
11 years 10 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld