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» An Entity-Level Approach to Information Extraction
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ICIP
2003
IEEE
14 years 10 months ago
Automatic road extraction from aerial images by probabilistic contour tracking
In this paper a new automatic approach to road extraction from aerial images is proposed. This method improves a recently introduced promising approach to probabilistic contour tr...
Manuele Bicego, Silvio Dalfini, Gianni Vernazza, V...
HAIS
2008
Springer
13 years 10 months ago
Extracting Multi-knowledge from fMRI Data through Swarm-Based Rough Set Reduction
Abstract. Functional Magnetic Resonance Imaging (fMRI) data is collected ceaselessly during brain research, which implicates some important information. It need to be extracted and...
Hongbo Liu, Ajith Abraham, Hong Ye
EKAW
2008
Springer
13 years 10 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
SIGIR
2003
ACM
14 years 2 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
FQAS
2000
Springer
115views Database» more  FQAS 2000»
14 years 12 days ago
Weighted Semantic Parsing: A Robust Approach to Interpretation of Natural Language Queries
This paper focuses on a grammar-based approach to semantic interpretation, which combines the notions of robust and weighted parsing. In restricted domains of application in infor...
Afzal Ballim, Vincenzo Pallotta