Automatic abstract generation based on document structure analysis and its evaluation as a document retrieval presentation function
| Autor: | Tetsuro Chino, Kenji Ono, Kazuo Sumita, Seiji Miike |
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| Rok vydání: | 1995 |
| Předmět: |
Structure (mathematical logic)
Document Structure Description Information retrieval business.industry Computer science media_common.quotation_subject computer.software_genre Theoretical Computer Science Presentation Computational Theory and Mathematics Hardware and Architecture ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Rhetorical question Key (cryptography) Segmentation Artificial intelligence Document retrieval business computer Natural language processing Sentence Information Systems media_common |
| Zdroj: | Systems and Computers in Japan. 26:32-43 |
| ISSN: | 1520-684X 0882-1666 |
| DOI: | 10.1002/scj.4690261304 |
| Popis: | An automatic abstract generation system including a document structure analyzer is described. From a document, the system extracts a text structure representing rhetorical relations among sentences and sentence chunks. The system evaluates sentence importance based on the analyzed structure and decides which sentence should be discarded from an abstract. It also attempts to generate an abstract consistent with the original text by replacing connective expressions. Generated abstracts were evaluated from two points of view: the cover rate of key sentences; and the quality as document presentation media. Both experimental results proved the generated abstracts to be valid. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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