Mining Romanian texts for semantic knowledge

This papers presents a semantic role labeling system for Romanian texts. The semantic labeling system was developed using PASRL, a platform for supervised learning techniques. The developed platform tests several classifiers on different sub-problems of the SRL task (Predicate Identification, Predic...

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Bibliographic Details
Main Author: Trandabat, D.
Format: Conference Proceeding
Language:English
Subjects:
knowledge extraction
Labeling
Machine learning
Machine learning algorithms
natural language processing
Pragmatics
Semantics
Syntactics
text mining
Training
Online Access:Request full text
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Summary:This papers presents a semantic role labeling system for Romanian texts. The semantic labeling system was developed using PASRL, a platform for supervised learning techniques. The developed platform tests several classifiers on different sub-problems of the SRL task (Predicate Identification, Predicate Sense Identification, Sense Identification, Argument Identification), chooses the ones with the greatest performance and returns a Semantic Role Labeling System (a sequence of trained models to run on new data).
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2011.6121799