Physics

Key (lock)

Heading (navigation)

Mathematics

Algorithm

Geodesy

Artificial intelligence

Parameterized complexity

Geography

Component (thermodynamics)

Control (management)

Natural language processing

Information retrieval

Geometry

Sentence

Computer science

Computer security

Selection (genetic algorithm)

Word (group theory)

Thermodynamics

Journal of the ACM

This paper describes new methods of automatically extracting documents for screening purposes, i.e. the computer selection of sentences having the greatest potential for conveying to the reader the substance of the document. While previous work has focused on one component of sentence significance, namely, the presence of high-frequency content words (key words), the methods described here also treat three additional components: pragmatic words (cue words); title and heading words; and structural indicators (sentence location). The research has resulted in an operating system and a research methodology. The extracting system is parameterized to control and vary the influence of the above four components. The research methodology includes procedures for the compilation of the required dictionaries, the setting of the control parameters, and the comparative evaluation of the automatic extracts with manually produced extracts. The results indicate that the three newly proposed components dominate the frequency component in the production of better extracts.

New Methods in Automatic Extracting