id: 05887283
dt: a
an: 05887283
au: Farkas, Richárd; Berend, Gábor; Hegedűs, István; Kárpáti, András;
    Krich, Balázs
ti: Automatic free-text-tagging of online news archives.
so: Coelho, Helder (ed.) et al., ECAI 2010. 19th European conference on
    artificial intelligence, August 16‒20, 2010 Lisbon, Portugal.
    Including proceedings of the 6th prestigious applications of artificial
    intelligence (PAIS-2010). Amsterdam: IOS Press (ISBN
    978-1-60750-605-8/pbk; 978-1-60750-606-5/ebook). Frontiers in
    Artificial Intelligence and Applications 215, 529-534 (2010).
py: 2010
pu: Amsterdam: IOS Press
la: EN
cc: 
ut: 
ci: 
li: doi:10.3233/978-1-60750-606-5-529
ab: Summary: In this paper, we shall introduce the problem of free-text-tagging
    of online news archives. From an application point of view, it has many
    benefits for online news portals and on the other hand, the task has
    unique characteristics compared to existing approaches for
    free-text-tagging. We shall describe our system, which was developed
    for the archive (consisting of 370 thousand articles) of the most
    visited Hungarian news portal www.origo.hu, along with research
    questions encountered and solved during our task. As the evaluation of
    tagging is not straightforward at the end of the project the news
    company manually investigated the tagging of the automatic system which
    yielded an F-measure of 71.9.
rv: