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ACL
2010
15 years 8 days ago
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes
Automatic opinion recognition involves a number of related tasks, such as identifying the boundaries of opinion expression, determining their polarity, and determining their inten...
Yejin Choi, Claire Cardie
94
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ACL
2009
15 years 2 days 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
COLING
2010
14 years 9 months ago
Learning Web Query Patterns for Imitating Wikipedia Articles
This paper presents a novel method for acquiring a set of query patterns to retrieve documents containing important information about an entity. Given an existing Wikipedia catego...
Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka
ICASSP
2011
IEEE
14 years 6 months ago
Learning non-parametric models of pronunciation
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Brian Hutchinson, Jasha Droppo
ACL
2011
14 years 5 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman