论文信息 - Using Linguistic Knowledge in Automatic Abstracting

Using Linguistic Knowledge in Automatic Abstracting

We present work on the automatic generation of short indicative-informative abstracts of scientific and technical articles. The indicative part of the abstract identifies the topics of the document while the informative part of the abstract elaborate some topics according to the reader's interest by motivating the topics, describing entities and defining concepts. We have defined our method of automatic abstracting by studying a corpus professional abstracts. The method also considers the reader's interest as essential in the process of abstracting.

Horacio Saggion | Horacio Saggion

[1] Mario Bunge,et al. Scientific Research II , 1967 .

[2] M. Bunge,et al. Scientific Research I: The Search for System , 1967 .

[3] Chris D. Paice,et al. The identification of important concepts in highly structured technical papers , 1993, SIGIR.

[4] Anne H. Soukhanov. Roget's II : the new thesaurus , 1988 .

[5] Edward T. Cremmins. The Art of Abstracting. , 1982 .

[6] Dragomir R. Radev,et al. Generating Natural Language Summaries from Multiple On-Line Sources , 1998, CL.

[7] Frances C. Johnson. Automatic abstracting research , 1995 .

[8] Brigitte Endres-Niggemeyer,et al. How to Implement a Naturalistic Model of Abstracting: Four Core Working Steps of an Expert Abstractor , 1995, Inf. Process. Manag..

[9] Daniel Marcu,et al. From discourse structures to text summaries , 1997 .

[10] R. Torretti. Mario Bunge: Scientific research. I. The search for system. II. The search for truth. Berlin Heidelberg. New York. Springer-Verlag. 1967 , 1967 .

[11] Hans Peter Luhn,et al. The Automatic Creation of Literature Abstracts , 1958, IBM J. Res. Dev..

[12] Donia Scott,et al. A Discourse Model for Gist Preservation , 1996, SBIA.

[13] Horacio Saggion,et al. Where does Information come from? Corpus Analysis for Automatic Abstracting , 1998 .

[14] Francine Chen,et al. A trainable document summarizer , 1995, SIGIR '95.