Two Layers of Annotation for Representing Event Mentions in News Stories

Maria Pia di Buono, Martin Tutek, Jan Šnajder, Goran Glavaš, Bojana Dalbelo Bašić, Nataša Milić-Frayling


Abstract
In this paper, we describe our preliminary study on annotating event mention as a part of our research on high-precision news event extraction models. To this end, we propose a two-layer annotation scheme, designed to separately capture the functional and conceptual aspects of event mentions. We hypothesize that the precision of models can be improved by modeling and extracting separately the different aspects of news events, and then combining the extracted information by leveraging the complementarities of the models. In addition, we carry out a preliminary annotation using the proposed scheme and analyze the annotation quality in terms of inter-annotator agreement.
Anthology ID:
W17-0810
Volume:
Proceedings of the 11th Linguistic Annotation Workshop
Month:
April
Year:
2017
Address:
Valencia, Spain
Venues:
LAW | WS
SIG:
SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
82–90
Language:
URL:
https://aclanthology.org/W17-0810
DOI:
10.18653/v1/W17-0810
Bibkey:
Cite (ACL):
Maria Pia di Buono, Martin Tutek, Jan Šnajder, Goran Glavaš, Bojana Dalbelo Bašić, and Nataša Milić-Frayling. 2017. Two Layers of Annotation for Representing Event Mentions in News Stories. In Proceedings of the 11th Linguistic Annotation Workshop, pages 82–90, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Two Layers of Annotation for Representing Event Mentions in News Stories (di Buono et al., 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-0810.pdf
Data
ECB+