Naslov
HiEve: A Corpus for Extracting Event Hierarchies from News Stories

Autori
Glavaš, Goran ; Šnajder, Jan ; Moens ; Marie-Francine Moens ; Kordjamshidi, Parisa

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) / - Reykjavík : European Language Resources Association (ELRA), 2014, 3678-3683

Skup
The Ninth International Conference on Language Resources and Evaluation (LREC'14)

Mjesto i datum
Reykjavík, Island, 26.05.2014. - 31.05.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Event hierarchies; spatiotemporal containment; relation extraction

Sažetak
In news stories, event mentions denote real-world events of different spatial and temporal granularity. Narratives in news stories typically describe some real-world event of coarse spatial and temporal granularity along with its subevents. In this work, we present HiEve, a corpus for recognizing relations of spatiotemporal containment between events. In HiEve, the narratives are represented as hierarchies of events based on relations of spatiotemporal containment (i.e., superevent-subevent relations). We describe the process of manual annotation of HiEve. Furthermore, we build a supervised classifier for recognizing spatiotemporal containment between events to serve as a baseline for future research. Preliminary experimental results are encouraging, with classifier performance reaching 58% F1-score, only 11% less than the inter-annotator agreement.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA