@inproceedings{be4f7a05a5144b5a88ea99d58154973b,
title = "Protest Event Detection: When Task-Specific Models Outperform an Event-Driven Method",
abstract = "2019 has been characterized by worldwide waves of protests. Each country{\textquoteright}s protests is different but there appear to be common factors. In this paper we present two approaches for identifying protest events in news in English. Our goal is to provide political science and discourse analysis scholars with tools that may facilitate the understanding of this on-going phenomenon. We test our approaches against the ProtestNews Lab 2019 benchmark that challenges systems to perform unsupervised domain adaptation on protest events on three sub-tasks: document classification, sentence classification, and event extraction. Results indicate that developing dedicated architectures and models for each task outperforms simpler solutions based on the propagation of labels from lexical items to documents. Furthermore, we complete the description of our systems with a detailed data analysis to shed light on the limits of the methods.",
keywords = "Document classification, Event extraction, Protest events, Sentence classification",
author = "Angelo Basile and Tommaso Caselli",
year = "2020",
doi = "10.1007/978-3-030-58219-7_9",
language = "English",
isbn = "9783030582180",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "97--111",
editor = "Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Hideo Joho and Christina Lioma and Carsten Eickhoff and Aur{\'e}lie N{\'e}v{\'e}ol and Aur{\'e}lie N{\'e}v{\'e}ol and Linda Cappellato and Nicola Ferro",
booktitle = "Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Proceedings",
note = "11th Conference and Labs of the Evaluation Forum, CLEF 2020 ; Conference date: 22-09-2020 Through 25-09-2020",
}