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AAAI
2008
13 years 10 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
LREC
2010
246views Education» more  LREC 2010»
13 years 9 months ago
Computational Linguistics for Mere Mortals - Powerful but Easy-to-use Linguistic Processing for Scientists in the Humanities
Delivering linguistic resources and easy-to-use methods to a broad public in the humanities is a challenging task. On the one hand users rightly demand easy to use interfaces but ...
Rüdiger Gleim, Alexander Mehler
ADCS
2004
13 years 9 months ago
Co-Training on Textual Documents with a Single Natural Feature Set
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
Jason Chan, Irena Koprinska, Josiah Poon
RIAO
2004
13 years 9 months ago
Multilingual document clusters discovery
Cross Language Information Retrieval community has brought up search engines over multilingual corpora, and multilingual text categorization systems. In this paper, we focus on th...
Benoît Mathieu, Romaric Besançon, Chr...
IJCAI
2003
13 years 9 months ago
Domain Event Extraction and Representation with Domain Ontology
With domain ontology, a meaningful index of document indexing, such as the domain events structure in this paper, can be defined. Since the construction of domain ontology is cost...
Shih-Hung Wu, Tzong-Han Tsai, Wen-Lian Hsu