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AAAI
2006
13 years 9 months ago
Semantic Tagging at the Sense Level
This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a c...
Alina Andreevskaia, Sabine Bergler
IPL
2010
98views more  IPL 2010»
13 years 6 months ago
Distinguishing attacks on stream ciphers based on arrays of pseudo-random words
In numerous modern stream ciphers, the internal state consists of a large array of pseudo-random words, and the output key-stream is a relatively simple function of the state. In ...
Nathan Keller, Stephen D. Miller
HAIS
2009
Springer
13 years 11 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
COLING
2000
13 years 9 months ago
Incremental Identification of Inflectional Types
We present an al)proach to the increnmntal accrual of lexical int'ornmtion fl)r unknown words t;hat is consl;raint-based and conll)atil)le with s(.andard unification-liased g...
Petra Barg, James Kilbury
BIRD
2008
Springer
131views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
Identifying Subcellular Locations from Images of Unknown Resolution
Our group has previously used machine learning techniques to develop computational systems to automatically analyse fluorescence microscope images and classify the location of the ...
Luís Pedro Coelho, Robert F. Murphy