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ACL
2009
13 years 6 months ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov
AI
2010
Springer
13 years 3 months ago
Annotation Concept Synthesis and Enrichment Analysis
Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process data generated by high-throughput genomic and proteomic experiments such as gene expression mic...
Mikhail Jiline, Stan Matwin, Marcel Turcotte
COLING
2010
13 years 3 months ago
A Cross-lingual Annotation Projection Approach for Relation Detection
While extensive studies on relation extraction have been conducted in the last decade, statistical systems based on supervised learning are still limited because they require larg...
Seokhwan Kim, Minwoo Jeong, Jonghoon Lee, Gary Geu...
EMNLP
2004
13 years 9 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne
CORR
2000
Springer
103views Education» more  CORR 2000»
13 years 8 months ago
Towards a query language for annotation graphs
The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been prop...
Steven Bird, Peter Buneman, Wang Chiew Tan