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COLING
2002
13 years 7 months ago
Unsupervised Learning of Generalized Names
We present an algorithm, Nomen, for learning generalized names in text. Examples of these are names of diseases and infectious agents, such as bacteria and viruses. These names ex...
Roman Yangarber, Winston Lin, Ralph Grishman
CAIP
2007
Springer
106views Image Analysis» more  CAIP 2007»
14 years 1 months ago
A New Manifold Representation for Visual Speech Recognition
In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using P...
Dahai Yu, Ovidiu Ghita, Alistair Sutherland, Paul ...
CHI
2000
ACM
13 years 11 months ago
Using naming time to evaluate quality predictors for model simplification
Model simplification researchers require quality heuristics to guide simplification, and quality predictors to allow comparison of different simplification algorithms. However, th...
Benjamin Watson, Alinda Friedman, Aaron McGaffey
KDD
2004
ACM
141views Data Mining» more  KDD 2004»
14 years 7 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
CIKM
2008
Springer
13 years 9 months ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...