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ACL
2008
15 years 9 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
MVA
2007
130views Computer Vision» more  MVA 2007»
15 years 8 months ago
Benchmarking 3D Reconstructions from Next Best View Planning
The problem of planning the Next Best View (NBV) still poses many questions. However, the achieved methods and algorithms are hard to compare, since researchers use their own test...
Christoph Munkelt, Michael Trummer, Joachim Denzle...
STAIRS
2008
112views Education» more  STAIRS 2008»
15 years 8 months ago
Unsupervised Web-based Automatic Annotation
The success of the Semantic Web depends both on the definition of ontologies used to represent the knowledge as on the annotations performed of the web contents. As manual approach...
Miquel Millan, David Sánchez, Antonio Moren...
NAACL
2004
15 years 8 months ago
Speed and Accuracy in Shallow and Deep Stochastic Parsing
This paper reports some experiments that compare the accuracy and performance of two stochastic parsing systems. The currently popular Collins parser is a shallow parser whose out...
Ronald M. Kaplan, Stefan Riezler, Tracy H. King, J...
NIPS
2004
15 years 8 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...