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» Mining Relevant Text from Unlabelled Documents
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KDD
2008
ACM
120views Data Mining» more  KDD 2008»
15 years 10 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
15 years 2 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper
IDA
2006
Springer
14 years 9 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
SAC
2004
ACM
15 years 3 months ago
Classifying biological articles using web resources
Text classification systems on biomedical literature aim to select relevant articles to a specific issue from large corpora. Most systems with an acceptable accuracy are based o...
Francisco M. Couto, Bruno Martins, Mário J....
IJCAI
2007
14 years 11 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng