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» Calibrating Features for Semantic Role Labeling
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ACL
2009
13 years 5 months ago
A Comparative Study on Generalization of Semantic Roles in FrameNet
A number of studies have presented machine-learning approaches to semantic role labeling with availability of corpora such as FrameNet and PropBank. These corpora define the seman...
Yuichiro Matsubayashi, Naoaki Okazaki, Jun-ichi Ts...
EMNLP
2008
13 years 8 months ago
A Japanese Predicate Argument Structure Analysis using Decision Lists
This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar...
Hirotoshi Taira, Sanae Fujita, Masaaki Nagata
ICIP
2008
IEEE
14 years 1 months ago
A systematic study of the role of context on image classification
We present the results of a systematic study of the contextual gain hypothesis for image classification. This hypothesis relates the traditional strategy of direct visual classi...
Nikhil Rasiwasia, Nuno Vasconcelos
FLAIRS
2006
13 years 8 months ago
LARC: Learning to Assign Knowledge Roles to Textual Cases
In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
CIKM
2010
Springer
13 years 5 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...