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» Improving Rule Evaluation Using Multitask Learning
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WWW
2007
ACM
16 years 2 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
LREC
2008
88views Education» more  LREC 2008»
15 years 3 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
NAACL
2004
15 years 3 months ago
Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution
We present a coreference resolver called BABAR that uses contextual role knowledge to evaluate possible antecedents for an anaphor. BABAR uses information extraction patterns to i...
David L. Bean, Ellen Riloff
IJCNN
2008
IEEE
15 years 8 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
CVPR
2012
IEEE
13 years 4 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....