Transition network grammars for natural language analysis
Communications of the ACM
Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Information Retrieval: Computational and Theoretical Aspects
Information Retrieval: Computational and Theoretical Aspects
Understanding Natural Language
Understanding Natural Language
Artificial Intelligence Programming
Artificial Intelligence Programming
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Outline of a knowledge base model for an intelligent information retrieval system
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
User-specified domain knowledge for document retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
RUBRIC: an environment for full text information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
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Natural language processing techniques developed for Artificial Intelligence programs can aid in constructing powerful information retrieval systems in at least two areas. Automatic construction of new concepts allows a large body of information to be organized compactly and in a manner that allows a wide range of queries to be answered. Also, using natural language processing techniques to conceptually analyze the documents being stored in a system greatly expands the effectiveness of queries about given pieces of text. However, only robust conceptual analysis methods are adequate for such systems. This paper will discuss approaches to both concept learning, in the form of Generalization-Based Memory, and powerful, robust text processing achieved by Memory-Based Understanding. These techniques have been implemented in the computer systems IPP, a program that reads, remembers and generalizes from news stories about terrorism, and RESEARCHER, currently in the prototype stage, that operates in a very different domain (technical texts, patent abstracts in particular).