140 search results - page 11 / 28 » Language Learning With Some Negative Information |
110
click to vote
KDD
2005
ACM
16 years 4 days ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
100
click to vote
SEMWEB
2010
Springer
14 years 9 months ago
2010
Springer
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
101
click to vote
CIMCA
2006
IEEE
15 years 1 months ago
2006
IEEE
Existing Language Identification (LID) approaches do reach 100% precision, in most common situations, when dealing with documents written in just one language, and when those docu...
IM
2007
15 years 1 months ago
2007
— The objectives of this paper are twofold. First, we introduce a novel policy language, called CIM-SPL (Simple Policy Language for CIM) that complies with the CIM (Common Inform...
EMNLP
2010
14 years 9 months ago
2010
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...