Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Generating summaries of multiple news articles
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue: summarizing text
Relevant Information Extraction Driven with Rhetorical Schemas to Summarize Scientific Papers
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
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The automatic summaries produced by extraction processes have been subject to several critics because of the quality of their textual substance (i.e, lack of cohesion and coherence). In this paper, we propose the use of summary-schemas conceived on the base of an empirical study of the argumentative structure of scientific articles and their author abstracts. These schemas enclose guidelines which help to achieve four properties to the summary textual material: completeness, non-redundancy, canonical organisation, and connectivity. These properties are achieved by means of three operations (addition, suppression and permutation) applied to the initial extract by agents that use various resources and interact with source text.