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» Can Document Selection Help Semi-supervised Learning
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AAI
2011
197views Algorithms» more  AAI 2011»
13 years 1 months ago
Document Translation Retrieval Based on Statistical Machine Translation Techniques
We compare different strategies to apply statistical machine translation techniques in order to retrieve documents which are a plausible translation of a given source document. Fi...
Felipe Sánchez-Martínez, Rafael C. C...
HICSS
2002
IEEE
191views Biometrics» more  HICSS 2002»
14 years 2 months ago
Mindmap: Utilizing Multiple Taxonomies and Visualization to Understand a Document Collection
We present a novel system and methodology for browsing and exploring topics and concepts within a document collection. The process begins with the generation of multiple taxonomie...
W. Scott Spangler, Jeffrey T. Kreulen, Justin Less...
PRIS
2004
13 years 11 months ago
Learning Text Extraction Rules, without Ignoring Stop Words
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...
João Cordeiro, Pavel Brazdil
WWW
2006
ACM
14 years 10 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
CDVE
2007
Springer
115views Visualization» more  CDVE 2007»
14 years 1 months ago
A Document Recommendation System Based on Clustering P2P Networks
: This paper presents a document recommendation system based on clustering peer-to-peer networks. It's an unstructured P2P system. In this system each agent-peer can learn use...
Feng Guo, Shaozi Li