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ACL
2009
13 years 6 months ago
Semi-Supervised Active Learning for Sequence Labeling
While Active Learning (AL) has already been shown to markedly reduce the annotation efforts for many sequence labeling tasks compared to random selection, AL remains unconcerned a...
Katrin Tomanek, Udo Hahn
CIKM
2011
Springer
12 years 8 months ago
Worker types and personality traits in crowdsourcing relevance labels
Crowdsourcing platforms offer unprecedented opportunities for creating evaluation benchmarks, but suffer from varied output quality from crowd workers who possess different levels...
Gabriella Kazai, Jaap Kamps, Natasa Milic-Frayling
IJCV
2006
205views more  IJCV 2006»
13 years 8 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
NAACL
2010
13 years 6 months ago
Improving Semantic Role Labeling with Word Sense
Semantic role labeling (SRL) not only needs lexical and syntactic information, but also needs word sense information. However, because of the lack of corpus annotated with both wo...
Wanxiang Che, Ting Liu, Yongqiang Li
CP
2007
Springer
14 years 2 months ago
Filtering for Subgraph Isomorphism
A subgraph isomorphism problem consists in deciding if there exists a copy of a pattern graph in a target graph. We introduce in this paper a filtering algorithm dedicated to this...
Stéphane Zampelli, Yves Deville, Christine ...