Unsupervised Information Extraction by Text Segmentation

• Κύριοι συγγραφείς: Cortez, Eli (Συγγραφέας), Silva, Altigran S. da (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Computer Science.; Database Management.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.

A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors’ approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a given...

Πίνακας περιεχομένων:

• Foreword
• Preface
• Introduction
• Related Work
• Exploiting Pre-Existing Datasets to Support IETS
• ONDUX
• JUDIE
• iForm
• Conclusions and Future Work.