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» Learning with Annotation Noise
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JMLR
2010
82views more  JMLR 2010»
14 years 4 months ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang
CORIA
2007
14 years 11 months ago
Apprentissage actif pour l'annotation de documents
ABSTRACT. In the framework of the LegDoc project at Xerox Research Centre Europe, we are developing components for the semantic annotation of semi-structured documents. While certa...
Loïc Lecerf, Boris Chidlovskii
NAACL
2004
14 years 11 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian
LREC
2008
105views Education» more  LREC 2008»
14 years 11 months ago
Extraction and Evaluation of Keywords from Learning Objects: a Multilingual Approach
We report about a project which brings together Natural Language Processing and eLearning. One of the functionalities developed within this project is the possibility to annotate ...
Lothar Lemnitzer, Paola Monachesi
ECAI
2006
Springer
15 years 1 months ago
Efficient Knowledge Acquisition for Extracting Temporal Relations
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
Son Bao Pham, Achim G. Hoffmann