C04-1143 over , which might mislead the summarisation process . A thread-detection
D08-1057 Systems Statistical text-to-text summarisation applications have borrowed much
C04-1143 are different from general text summarisation . This work describes the implementation
C04-1143 emails that cause most problems for summarisation purposes are the first two classes
C04-1143 Xia Yorick Wilks Abstract Email summarisation presents a unique set of requirements
A97-1035 information extraction , text summarisation , document gen - eration , machine
C04-1143 Summarisation Techniques Various summarisation techniques were considered in
C04-1143 to be resolved properly before summarisation can take place . The summariser
C00-1012 analysing cohesion on document summarisation </title> Branimir K Boguraev
C04-1143 the implementation of an email summarisation system for use in a voice-based
C94-2160 summarisation ; in tests on the summarisation of newspaper articles the length
C94-2160 Group includes automatic text summarisation ; in tests on the summarisation
A97-1043 paragraphs . In the field of text summarisation , a vector model was often used
C04-1143 summarisation system optimised for email summarisation in a voice-based system context
C04-1143 Summarisation system represents a compact summarisation system optimised for email summarisation
C04-1143 and Future Work The FASiL Email Summarisation system represents a compact summarisation
C04-1143 characteristics with general text summarisation techniques while catering for
C04-1143 2 Email Characteristics Email Summarisation techniques share many characteristics
C04-1143 Previous Work Many single-document summarisation systems can be split according
C04-1143 NER-driven approach towards email summarisation with encouraging results obtained
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