Synopses & Reviews
Up to now there has been no scientific publication on natural language research that presents a broad and complex description of the current problems of parsing in the context of Artificial Intelligence. However, there are many interesting results from this domain appearing mainly in numerous articles published in professional journals. In view of this situation, the objective of this book is to enable scientists from different countries to present the results of their research on natural language parsing in the form of more detailed papers than would be possible in professional journals. This book thus provides a collection of studies written by well-known scientists whose earlier publications have greatly contributed to the development of research on natural language parsing.
Table of Contents
Contents: Robust Parsing Using Multiple Construction-Specific Strategies.- Parsing with Logical Variables.- Knowledge-Based Parsing.- Using Declarative Knowledge for Understanding Natural Language.- Weighted Parsing.- A Distributed Word-Based Approach to Parsing.- Parsing by Means of Uppsala Chart Processor (UCP).- Preliminary Analysis of a Breadth-First Parsing Algorithm: Theoretical and Experimental Results.- Syntax Directed Translation in the Natural Language Information System PLIDIS.- Subject Index.