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» Unsupervised Learning of Verb Argument Structures
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COGSCI
2008
139views more  COGSCI 2008»
13 years 5 months ago
A Computational Model of Early Argument Structure Acquisition
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Afra Alishahi, Suzanne Stevenson
CICLING
2010
Springer
13 years 1 months ago
Emotion Holder for Emotional Verbs - The Role of Subject and Syntax
Abstract. Human-like holder plays an important role in identifying actual emotion expressed in text. This paper presents a baseline followed by syntactic approach for capturing emo...
Dipankar Das, Sivaji Bandyopadhyay
ACL
2009
13 years 2 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ACL
2006
13 years 6 months ago
A Comparison of Alternative Parse Tree Paths for Labeling Semantic Roles
The integration of sophisticated inference-based techniques into natural language processing applications first requires a reliable method of encoding the predicate-argument struc...
Reid Swanson, Andrew S. Gordon
ACL
2012
11 years 7 months ago
Automatic Event Extraction with Structured Preference Modeling
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Wei Lu, Dan Roth