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Constructing an Annotated Corpus for Protest Event Mining


Makarov, Peter; Lorenzini, Jasmine; Kriesi, Hanspeter (2016). Constructing an Annotated Corpus for Protest Event Mining. In: 2016 EMNLP Workshop on Natural Language Processing and Computational Social Science, Austin, Texas, USA, 5 November 2016 - 5 November 2016, 102-107.

Abstract

We present a corpus for protest event min- ing that combines token-level annotation with the event schema and ontology of entities and events from protest research in the social sci- ences. 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 competi- tive intercoder agreement results.

Abstract

We present a corpus for protest event min- ing that combines token-level annotation with the event schema and ontology of entities and events from protest research in the social sci- ences. 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 competi- tive intercoder agreement results.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:5 November 2016
Deposited On:14 Feb 2018 16:57
Last Modified:31 Jul 2018 05:07
Publisher:EMNLP
Funders:European Research Council Grant No. 338875
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.aclweb.org/anthology/W/W16/W16-56.pdf#page=114

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