Supervised Event Coding From Text Written in Spanish

Author:

Osorio Javier1,Reyes Alejandro2

Affiliation:

1. Department of Political Science, John Jay College of Criminal Justice, City University of New York, New York, NY, USA

2. Instituto Nacional de Astrofísica Óptica y Electrónica, Tonanzintla, Puebla, Mexico

Abstract

Recent innovations in conflict and computer research favor generating massive event data using automated coding protocols. Unfortunately, these approaches almost exclusively rely on English-language sources, thus causing problems of coverage bias and misleading inferences. In an effort to attenuate Anglocentrism in event data, we introduce Eventus ID, new software for supervised event coding from text written in Spanish. Drawing on real news reports, the application generates daily georeferenced data on how the military fights organized criminals in Mexico. Performance metrics show that Eventus ID is almost as accurate as humans for coding event data.

Publisher

SAGE Publications

Subject

Law,Library and Information Sciences,Computer Science Applications,General Social Sciences

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. When elites concede: state capacity and the management of protest in Mexico;Democratization;2024-02-06

2. ConfliBERT-Spanish: A Pre-trained Spanish Language Model for Political Conflict and Violence;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

3. Multi-CoPED;Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society;2022-07-26

4. CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

5. 3M-Transformers for Event Coding on Organized Crime Domain;2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA);2021-10-06

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