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» Large-scale extraction and use of knowledge from text
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ACL
2003
14 years 11 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
AAAI
1998
14 years 11 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce
CIKM
2008
Springer
14 years 11 months ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...
ICPR
2008
IEEE
15 years 4 months ago
Unsupervised categorization of heterogeneous text images based on fractals
This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing ...
Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, ...
BMCBI
2008
164views more  BMCBI 2008»
14 years 10 months ago
MeInfoText: associated gene methylation and cancer information from text mining
Background: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a va...
Yu-Ching Fang, Hsuan-Cheng Huang, Hsueh-Fen Juan