Abstract
We present a corpus for protest event mining that combines token-level annotation with the event schema and ontology of entities and events from protest research in the social sciences. The dataset uses newswire reports from the English Gigaword corpus. The token-level annotation is inspired by annotation standards for event extraction, in particular that of the Automated Content Extraction 2005 corpus (Walker et al., 2006). Domain experts perform the entire annotation task. We report competitive intercoder agreement results.
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CITATION STYLE
Makarov, P., Lorenzini, J., & Kriesi, H. (2016). Constructing an Annotated Corpus for Protest Event Mining. In NLP + CSS 2016 - EMNLP 2016 Workshop on Natural Language Processing and Computational Social Science, Proceedings of the Workshop (pp. 102–107). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-5613
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