An important aspect of an artificially intelligent library management system is that it should have natural language comprehension capabilities, so that the user may dialog with the system in his native tongue. By this it is meant that the system, after examining the query, will take the required action, i.e. furnish the bibliographic indications. This would allow the insertion of requests in a helter-skelter fashion, without having to use predeter- mined frames. The aim of this paper is to present an approach to natural language comprehension based on statistical inference and pattern recognition rather than the more usual linguistic approaches.
Talking to Sibilla: An Approach to Context Dependent Natural Language Comprehension
Giovanni Felici
1995
Abstract
An important aspect of an artificially intelligent library management system is that it should have natural language comprehension capabilities, so that the user may dialog with the system in his native tongue. By this it is meant that the system, after examining the query, will take the required action, i.e. furnish the bibliographic indications. This would allow the insertion of requests in a helter-skelter fashion, without having to use predeter- mined frames. The aim of this paper is to present an approach to natural language comprehension based on statistical inference and pattern recognition rather than the more usual linguistic approaches.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
