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» Using structured text for large-scale attribute extraction
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IAT
2008
IEEE
15 years 6 months ago
An Ontology-Based Approach to Text Summarization
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Leonhard Hennig, Winfried Umbrath, Robert Wetzker
KCAP
2009
ACM
15 years 6 months ago
Large-scale extraction and use of knowledge from text
A large amount of empirically derived world knowledge is essential for many languageprocessing tasks, to create expectations that can help assess plausibility and guide disambigua...
Peter Clark, Philip Harrison
EMNLP
2006
15 years 1 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld
ICPR
2010
IEEE
14 years 12 months ago
A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features
Local invariant feature extraction methods are widely used for image-features matching. There exist a number of approaches aimed at the refinement of the matches between image-fe...
Gerard Sanromà, René Alquézar...
DAS
2006
Springer
15 years 3 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa