The new frontier of research on Information Extraction from texts is portability without any knowledge of Natural Language Processing. The market potential is very large in principle, provided that a suitablea easy-to-use and effective methodology is provided. In this paper we describe LearningPinocchio, a system for adaptive Information extraction from texts that is having good commercial and scientific success. Real world applications have been built and evaluation licenses have been released to external companiens for application development. In this paper we outline the basic algorithm behind the scenes and present a number of applications developed with LearningPinocchio. Then we report about an evaluation performed by an independent company. Finally we discuss the general suitability of this IE technology for real world applications and draw some conclusion
LearningPinocchio: Adaptive Information Extraction for Real World Applications
Lavelli, Alberto
2004-01-01
Abstract
The new frontier of research on Information Extraction from texts is portability without any knowledge of Natural Language Processing. The market potential is very large in principle, provided that a suitablea easy-to-use and effective methodology is provided. In this paper we describe LearningPinocchio, a system for adaptive Information extraction from texts that is having good commercial and scientific success. Real world applications have been built and evaluation licenses have been released to external companiens for application development. In this paper we outline the basic algorithm behind the scenes and present a number of applications developed with LearningPinocchio. Then we report about an evaluation performed by an independent company. Finally we discuss the general suitability of this IE technology for real world applications and draw some conclusionI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
