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Recent Advances in Computational Terminology
This collection of articles from researchers in automatic analysis, storage, and use of terminology offers insights into computational terminology. The articles cover themes such as automatic thesaurus construction, automatic term acquisition, and automatic term translation as well as automatic indexing and abstracting, and computer-aided knowledge of acquisition.
Technical Release
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14th Information Retrieval Colloquium
We hope that all readers will find the papers included in this volume of interest. All were presented at the 14th BCS IRSG Research Colloquium held at Lancaster University on 13th-14th April 1992. The papers display very well the scope and breadth of information retrieval, as indeed did the workshop ilself. They also present a good cross-section of current IR research, and as such provide a useful signpost for trends in information retrieval. Before we finish we must thank the following colleagues: Simon Botley, Paul Rayson and Paul Jones for their help in the organization of the conference. We would also like to extend a special message of thanks to Professor G.N. Leech of the Department of Linguistics at Lancaster and Roger Garside of the Department of Computing at Lancaster for their support during the conference period. Tony McEnery would also like to express his thanks and gratitude to Paul Baker for his help during the production of this book. September 1992 Tony McEnery Chris Paice Contents A Logical Model of Information Retrieval Based on Situation Theory M. La/mas and K. van Rijsbergen ........................................................ .
Automatic Summarization
Automatic Summarization is a comprehensive overview of research in summarization, including the more traditional efforts in sentence extraction as well as the most novel recent approaches for determining important content, for domain and genre specific summarization and for evaluation of summarization
Automatic Indexing and Abstracting of Document Texts
Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.
