Little words can make a big difference for text classification
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Machine learning for information extraction in informal domains
Machine learning for information extraction in informal domains
Scenario customization for information extraction
Scenario customization for information extraction
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Projecting corpus-based semantic links on a thesaurus
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Inferring knowledge from a large semantic network
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Adaptive information extraction from text by rule induction and generalisation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Deriving a multi-domain information extraction system from a rough ontology
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
CRYSTAL inducing a conceptual dictionary
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
The role of wordnet in the creation of a trainable message understanding system
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A framework for automatic annotation of web pages using the Google rich snippets vocabulary
Proceedings of the 2011 ACM Symposium on Applied Computing
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This paper presents a module dedicated to the elaboration of linguistic resources for a versatile Information Extraction system. In order to decrease the time spent on the elaboration of resources for the IE system and guide the end-user in a new domain, we suggest to use a machine learning system that helps defining new templates and associated resources. This knowledge is automatically derived from the text collection, in interaction with a large semantic network.