1 research outputs found
Building a document genre corpus: a profile of the KRYS I corpus
This paper describes the KRYS I corpus, consisting of documents classified into 70 genre classes. It has
been constructed as part of an effort to automate document genre classification as distinct from topic
detection. Previously there has been very little work on building corpora of texts which have been classified
using a nontopical
genre palette. The reason for this is partly due to the fact that genre as a concept, is
rooted in philosophy, rhetoric and literature, and highly complex and domain dependent in its interpretation
([11]). The usefulness of genre in everyday information search is only now starting to be recognised and
there is no genre classification schema that has been consolidated to have applicable value in this direction.
By presenting here our experiences in constructing the KRYS I corpus, we hope to shed light on the
information gathering and seeking behaviour and the role of genre in these activities, as well as a way
forward for creating a better corpus for testing automated genre classification tasks and the application of
these tasks to other domains.