[Donnerstag] KOLLOQUIUM

[Torsten Schaub]

Guten Tag!

ich mo"chte Sie hiermit ganz herzlich zum Vortrag im Rahmen des
Institutskolloquiums am Donnerstag einladen.

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 Mit freundlichen Gru"ssen, -torsten schaub

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   KOLLOQUIUM: 13. Januar
                                                              
   am Institut für Informatik der Universität Potsdam
   

                                                            
   Der Vortrag findet am 13. Januar 1999 um 15.30 Uhr
   in Raum 0.37, Haus 22, Campus Am Neuen Palais statt.
   
Titel

   Towards an Automated Citation Classification Scheme
   
Referent

   Professor Robert Mercer, 
   Cognitive Engineering Laboratory, 
   University of Western Ontario
   
Resümee

   All academic fields of research share a method of recording and
   disseminating knowledge that allows researchers to review this knowledge
   and further its development. To enable efficient retrieval of this
   knowledge, the documents containing this knowledge are usually indexed with
   both a subject index and a citation index. A citation index consists of
   entries of authors' works together with corresponding lists of
   bibliographic descriptions of citing works. Each citation link may serve
   one of many functions. For example, some citations give credit to related
   work, while others criticize previous work. Citation index searches have
   low precision partly because the bibliographic description of each citing
   document does not include the function (or purpose) of the
   citation. Classifying a citation's function is a first step to a full
   interpretation of a citation. We present some new work that continues the
   process of developing an automatic citation function classifier. We have
   built on previous work whose success has been limited by the small number
   of classification categories and the impoverished linguistic information
   available to the automated classifier. This talk describes a more
   comprehensive classification scheme and an automated citation function
   classifier that uses techniques motivated by semantic grammars.
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