Title of article :
Abstraction Assistant: An automatic text abstraction system
Author/Authors :
Wendy Wang1، نويسنده , , Drew Hwang2، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2010
Pages :
10
From page :
1790
To page :
1799
Abstract :
In the interest of standardization and quality assurance, it is desirable for authors and staff of access services to follow the American National Standards Institute (ANSI) guidelines in preparing abstracts. Using the statistical approach an extraction system (the Abstraction Assistant) was developed to generate informative abstracts to meet the ANSI guidelines for structural content elements. The system performance is evaluated by comparing the system-generated abstracts with the authorʹs original abstracts and the manually enhanced system abstracts on three criteria: balance (satisfaction of the ANSI standards), fluency (text coherence), and understandability (clarity). The results suggest that it is possible to use the system output directly without manual modification, but there are issues that need to be addressed in further studies to make the system a better tool.
Journal title :
Journal of the American Society for Information Science and Technology
Serial Year :
2010
Journal title :
Journal of the American Society for Information Science and Technology
Record number :
994293
Link To Document :
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