Event Coreference Resolution for Contentious Politics Events
This addresses a challenge in event information collection for political science, though it is incremental as it builds on existing methods with new data.
The authors tackled the problem of event coreference resolution in contentious politics by creating a multilingual dataset and evaluating state-of-the-art methods, finding that nearly half of event mentions co-occur, leading to errors, and showing that coreference resolution can improve this.
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event information collection has not quantified the contribution of event coreference resolution. We prepared and analyzed a representative multilingual corpus and measured the performance and contribution of the state-of-the-art event coreference resolution approaches. We found that almost half of the event mentions in documents co-occur with other event mentions and this makes it inevitable to obtain erroneous or partial event information. We showed that event coreference resolution could help improving this situation. Our contribution sheds light on a challenge that has been overlooked or hard to study to date. Future event information collection studies can be designed based on the results we present in this report. The repository for this study is on https://github.com/emerging-welfare/ECR4-Contentious-Politics.