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News Clustering Track
Reiteration of the 2005's news track on a renewed news collection.
Overview
Splitting news feeds into event-based topics.
Definitions:
-
Event - something taking place at a certain time in a certain place
along with
all its causes and all its inevitable consequences.
-
Event-based topic - representation of the event in the news media
(i.e. a set of news reports about
the event). Topics can possibly be associatively related, see Further
information for examples below.
Test Collection
The test collection used in this track is the ROMIP news collection that contains news feeds from several news agencies.
Task Description for Participating Systems
Participants have to structure/group an input stream of news reports from the
collection into a set of event-based topics.
Evaluation Methodology
- instructions for assessors: TBD
- evaluation method: TBD
- relevance scale: TBD
- official metrics: TBD
Data Formats
Further information
Different event-based topics can still be associatively related (it can be a
cause-effect or a space-time relation).
Examples:
-
"Mourning the death of Pope John Paul II" and "Altering the date of the next round of the Italian soccer championship
because of the Pope's death" - these are two different topics but there is an associative relationship
between them.
-
"NYC theatre co-founder Curt Dempster has died"
and "Fulton Theatre presents 'The Mousetrap'" - there are neither
cause-effect nor space-time relationship, i.e. no associative relationship.
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