Paper: Automatic Text Summarization Based on the Global Document Annotation

ACL ID C98-2146
Title Automatic Text Summarization Based on the Global Document Annotation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1998
Authors

The GDA (Glol)al Do(:ument Annotation) t)roject t)roposes a tag set which allows machines to auto- matically infer the underlying semantic/pragmatic structure of documents. Its objectives are to pro- mote development and spread of NLP/AI at)plica- tions to render GDA-tagged do(:uments versatile and intelligent (:ontents, wld(:h shouhl motiwtte WWW (World Wide Web) users to tag their doemnents a~s l)art of content authoring. This 1)aper discusses au- tomatic text sunnnariz~tion based on GDA. Its mifin features are a domain/style-fi'ee algorithm and per- sonalization on SUlmnarization whi(:h reflects read- ers' interests and preferences. In order to calcu- late the iml)ort~m(:e score of a text element, the algorithm uses st)re;uting aetiwttion on an intra- doeulnent network w...