Hostname: page-component-7bb8b95d7b-dvmhs Total loading time: 0 Render date: 2024-09-06T22:16:18.436Z Has data issue: false hasContentIssue false

Special Issue on Robust Methods in Analysis of Natural Language Data

Published online by Cambridge University Press:  25 July 2001

Afzal Ballim
Affiliation:
Department of Computer Science, Swiss Federal Institute of Technology - Lausanne
Vincenzo Pallotta
Affiliation:
Department of Computer Science, Swiss Federal Institute of Technology - Lausanne

Abstract

The automated analysis of natural language data has become a central issue in the design of Intelligent Information Systems. The term natural language is intended to cover all the possible modalities of human communication and it is not restricted to written or spoken language. Processing unrestricted natural language is still considered as an AI-hard task. However various analysis techniques have been proposed in order to address specific aspects of natural language. In particular, recent interest has been on providing approximate analysis techniques, assuming that perfect analysis is not possible, but that partial results are still very useful.

Type
Call for Papers
Copyright
© 2001 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)