Automatic text processing
The identification of important concepts in highly structured technical papers
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge Management for Terminology-Intensive Applications: Needs and Tools
Proceedings of the First SIGLEX Workshop on Lexical Semantics and Knowledge Representation
Writing for Computer Science
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The intensive use of terms of a specific terminology is admittedly one of the most distinguishing features of scientific and technical (sci-tech) texts. We propose to categorize the terms as either dictionary units of generally accepted terminology or new terms introduced into a sci-tech text to facilitate the description of new author's concepts; we call such terms author's. The paper discusses issues concerned with authors' terms, including frequent ways of their definition and using in sci-tech texts. It is argued that recognition of author's sci-tech terms are important for NLP applications such as computer-aided scientific and literary editing, automatic text abstracting and summarization, or acquiring of expert knowledge. A sketch of the procedure for recognition of author's terms with certain degree of accuracy is given.