Information Extraction: Towards Scalable, Adaptable Systems

by Maria T. Pazienza (Editor)

Overview

Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information retrieval and involves learning. In concert with other promising intelligent information processing technologies like data mining, intelligent data analysis, text summarization, and information agents, IE plays a crucial role in dealing with the vast amounts of information accessible electronically, for example from the Internet. The book is based on the Second International School on Information Extraction, SCIE-99, held in Frascati near Rome, Italy in June/July 1999.

Product Details

ISBN-13:	9783540666257
Publisher:	Springer Berlin Heidelberg
Publication date:	10/29/1999
Series:	Lecture Notes in Computer Science , #1714
Edition description:	1999
Pages:	174
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Can We Make Information Extraction More Adaptive?.- Natural Language Processing and Digital Libraries.- Natural Language Processing and Information Retrieval.- From Speech to Knowledge.- Relating Templates to Language and Logic.- Inferential Information Extraction.- Knowledge Extraction from Bilingual Corpora.- Engineering of IE Systems: An Object-Oriented Approach.