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» SVM Based Learning System for Information Extraction
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LREC
2010
145views Education» more  LREC 2010»
15 years 6 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...
NLDB
2007
Springer
15 years 10 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
IWPC
2006
IEEE
15 years 10 months ago
An Approach for Extracting Workflows from E-Commerce Applications
For many enterprises, reacting to fast changes to their business process is key to maintaining their competitive edge in the market. However, developers often must manually locate...
Ying Zou, Maokeng Hung
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 11 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ISBI
2011
IEEE
14 years 8 months ago
Network cycle features: Application to computer-aided Gleason grading of prostate cancer histopathological images
Features extracted from cell networks have become popular tools in histological image analysis. However, existing features do not take sufficient advantage of the cycle structure...
Parmeshwar Khurd, Leo Grady, Ali Kamen, Summer Gib...