Information Extraction: Towards Scalable, Adaptable Systems

✍ Scribed by Yorick Wilks, Roberta Catizone (auth.), Maria Teresa Pazienza (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1999
• Tongue: English
• Leaves: 174
• Series: Lecture Notes in Computer Science 1714 : Lecture Notes in Artificial Intelligence
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Can We Make Information Extraction More Adaptive?....Pages 1-16
Natural Language Processing and Digital Libraries....Pages 17-31
Natural Language Processing and Information Retrieval....Pages 32-48
From Speech to Knowledge....Pages 49-75
Relating Templates to Language and Logic....Pages 76-94
Inferential Information Extraction....Pages 95-119
Knowledge Extraction from Bilingual Corpora....Pages 120-133
Engineering of IE Systems: An Object-Oriented Approach....Pages 134-164

✦ Subjects

Artificial Intelligence (incl. Robotics); Information Storage and Retrieval