Protest Event Detection: When Task-Specific Models Outperform an Event-Driven Method.

Angelo Basile|Tommaso Caselli


Anthology ID:DBLP:conf/clef/BasileC19a
Volume:Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22-25, 2020, Proceedings
Year:2020
Venue:Conference and Labs of the Evaluation Forum (CLEF)
Publisher:Springer
Pages:97-111
URL:https://doi.org/10.1007/978-3-030-58219-7_9
DOI:https://doi.org/10.1007/978-3-030-58219-7_9
DBLP:conf/clef/BasileC19a
BibTeX:
@inproceedings{basile-2020-protest, author = {Angelo Basile and Tommaso Caselli}, 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 Linda Cappellato and Nicola Ferro}, title = {{Protest Event Detection: When Task-Specific Models Outperform an Event-Driven Method}}, booktitle = {{Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22-25, 2020, Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {12260}, pages = {97--111}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-58219-7_9}, doi = {https://doi.org/10.1007/978-3-030-58219-7_9} }