DocumentCode
1843911
Title
Learning Semantic Roles for Ontology Patterns
Author
Basili, Roberto ; Croce, Danilo ; Cao, Diego De ; Giannone, Cristina
Volume
3
fYear
2009
fDate
15-18 Sept. 2009
Firstpage
291
Lastpage
294
Abstract
An ontology learning method, based on large scale linguistic ontologies, such as FrameNet and WordNet, is here discussed. A robust learning method is defined to assign semantic roles to domain specific grammatical patterns according to distributional models of lexical semantics. Large scale experimental results over an IE task show an accuracy around 85-90%.
Keywords
Conferences; Intelligent agent; Joining processes; Large-scale systems; Learning systems; Natural languages; Ontologies; Prototypes; Robustness; Telephony; Computational Language Learning; Ontology Learning; Semantic Role Labeling;
fLanguage
English
Publisher
iet
Conference_Titel
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Milan, Italy
Print_ISBN
978-0-7695-3801-3
Electronic_ISBN
978-1-4244-5331-3
Type
conf
DOI
10.1109/WI-IAT.2009.285
Filename
5285042
Link To Document