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AAAI
2004
13 years 10 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
EACL
2006
ACL Anthology
13 years 10 months ago
Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the `one sense per collocation' obser...
Stefan Bordag
CLEF
2010
Springer
13 years 10 months ago
ZOT! to Wikipedia Vandalism - Lab Report for PAN at CLEF 2010
Abstract This vandalism detector uses features primarily derived from a wordpreserving differencing of the text for each Wikipedia article from before and after the edit, along wit...
James White, Rebecca Maessen
TREC
1998
13 years 10 months ago
TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French
: TextWise LLC. participated in the TREC-7 Cross-Language Retrieval track using the CINDOR system, which utilizes a "conceptual interlingua" representation of documents a...
Anne Diekema, Farhad Oroumchian, Paraic Sheridan, ...
ICDAR
1997
IEEE
14 years 1 months ago
Representing OCRed documents in HTML
ABSTRACT: OCR is an error-prone process. It is time-consuming and expensive to manually proofread OCR results. The errors remaining in OCRed texts can cause serious problems in rea...
Tao Hong, Sargur N. Srihari