The restriction language for computer grammars of natural language
Communications of the ACM
Syntactic formatting of science information
AFIPS '72 (Fall, part II) Proceedings of the December 5-7, 1972, fall joint computer conference, part II
AFIPS '73 Proceedings of the June 4-8, 1973, national computer conference and exposition
Enhancing clinical concept extraction with distributional semantics
Journal of Biomedical Informatics
Visual summarisation of text for surveillance and situational awareness in hospitals
Proceedings of the 18th Australasian Document Computing Symposium
| Hi-index | 0.00 |
This paper describes the analysis and processing programs for a set of natural language texts in a medical area (x-ray reports on patients with breast cancer). The programs convert the information in the text into a tabular form suitable for further automatic information processing (e.g., editing of records, question answering on the data collected, or statistical summaries of the data). To set up a tabular form appropriate for the data, we first perform a manual linguistic analysis on a sample of the texts. From this we obtain the word classes and the form of the table (called an information format) for this type of material. We then apply the series of processing programs to the sentences of the texts. Each sentence is parsed with the Linguistic String Parser English grammar in order to obtain its grammatical structure; certain standard English transformations are then applied to regularize the grammatical form of the sentence; and finally a set of "formatting transformations" map the words of the sentence into the slots of the format or table, in such a way that the sentence is reconstructible (up to paraphrase) from its representation in the table. The results of applying these programs to a corpus are described. This procedure enables us to convert a natural language corpus into a structured data base.