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» Using Text Classifiers for Numerical Classification
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IR
2010
14 years 11 months ago
Sentence-level event classification in unstructured texts
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Martina Naughton, Nicola Stokes, Joe Carthy
157
Voted
CIARP
2007
Springer
15 years 5 months ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
105
Voted
AUSAI
2003
Springer
15 years 5 months ago
A New Approach for Scientific Citation Classification Using Cue Phrases
This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple...
Son Bao Pham, Achim G. Hoffmann
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 5 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
15 years 8 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi