Hitzaldia: Ele anitzetako aipamenen detekzioa koreferentziaren ebazpenerako (O. Uryupina, 2014/02/21)

Hizlariak: Olga Uryupina
Trentoko Unibertsitatea
Eguna: Otsailaren 21an, 2014, ostirala
Ordua: Arratsaldeko 12:00retan
: Informatika Fakutatea, 3.2 gela


Ele anitzetako aipamenen detekzioa koreferentziaren ebazpenerako.
/Multilingual Mention Detection for Coreference Resolution


Accurate mention detection is a vital prerequisite for a variety of
Natural Language Processing tasks, in particular, for Relation
Extraction and Coreference Resolution. If a toolkit cannot extract
mentions reliably, it will obviously be unable to assign them to
relations or entities.

We propose a novel algorithm for multilingual mention detection: we
extract mentions from parse trees via kernel-based SVM learning. Our
approach allows for straightforward mention detection for any language
where (not necessary perfect) parsing resources are available, without
any complex language-specific rule engineering.  We also investigate
possibilities for incorporating automatically acquired mentions into
an end-to-end coreference resolution system. We evaluate our approach
on the Arabic and Chinese portions of the CoNLL-2012 dataset, showing
a significant improvement over the system with the baseline mention

Lan hau Alessandro Moschitti-ren lankidetzarekin garatu da.