Natural Language Processing in the Automated Editing System for the USENET Articles
نویسندگان
چکیده
This paper describes two signi cant natural language processing methods that are used in the automated QA-Pack generation system: the summary-extraction method and the hierarchical text classi cation method. QA-Pack is the questions-answers package that is generated from the USENET articles; we designed QA-Pack as a substitution of Frequently Asked Questions (FAQs) of the USENET. FAQ is the e ective information package that assists us in nding the speci c answer in certain domain; FAQ provides us with organized information and the navigation mechanisms. One of the weak points of FAQs are that they do not include the latest information; FAQs' update cycles are usually long, because editing requires timeconsuming works. In contrast, QA-Pack can always provide the latest information that are organized, because the automated generation system updates it in short cycles.
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