Year: 2014
Type: conference-paper
Abstract: In this paper we examine the representativeness of the EventCorefBank (ECB) (Bejan and Harabagiu, 2010) with regards to the language population of large-volume streams of news.The ECB corpus is one of the data sets used for evaluation of the task of event coreference resolution.Our analysis shows that the ECB in most cases covers one seminal event per domain, what considerably simplifies event and so language diversity that one comes across in the news.We augmented the corpus with a new corpus component, consisting of 502 texts, describing different instances of event types that were already captured by the 43 topics of the ECB, making it more representative of news articles on the web.The new "ECB+" corpus is available for further research.
Authors: Agata Cybulska, Piek Vossen
Institution: Vrije Universiteit Amsterdam
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Vrije Universiteit Amsterdam
OpenAlex ID: W2251552857