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ALT
2006
Springer
14 years 2 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
JIB
2006
220views more  JIB 2006»
13 years 5 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
IJET
2007
214views more  IJET 2007»
13 years 5 months ago
Employing Collaborative Learning Strategies in Online Conflict Resolution
—Although some critics may argue that conflict resolution cannot be carried out appropriately by virtual education, the basic elements of conflict present themselves within dista...
Samir Abou El-Seoud, Carme Anguera Iglesias, Marga...
LREC
2010
246views Education» more  LREC 2010»
13 years 7 months ago
GermanPolarityClues: A Lexical Resource for German Sentiment Analysis
In this paper, we propose GermanPolarityClues, a new publicly available lexical resource for sentiment analysis for the German language. While sentiment analysis and polarity clas...
Ulli Waltinger
ACL
2009
13 years 3 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani