**** Starting kit available **** https://colab.research.google.com/drive/1Tftgbunh7ML5hiYUXrlAJZK-6p9PwWqL?usp=sharing
We share with you a starting kit with everything you need to start preparing your submissions for the two tracks of DAVINCIS @ IberLEF2022. Please make a copy on your own space and modify as you wish. The code implements a BETO transformer to approach both subtasks. All you have to do is upload the data into your drive and run the model, it will automatically generate the submission files for both tasks. We hope you find it useful. Looking forward to receiving your submissions.
***************************** CALL FOR PARTICIPATION DA-VINCIS at IberLEF2022: Detection of Aggressive and Violent Incidents from Social Media in Spanish URL: https://sites.google.com/view/davincis-iberlef/home *****************************
* Task description *
Violence has obvious negative effects on those who witness or experience it, including a higher incidence of depression, anxiety, post-traumatic stress disorder, among others. In addition, violence events have a high impact for governments, as they are in charge of guaranteeing security to their population.
Therefore, the detection and tracking of violence related events is critical. In this context, social networks comprise a valuable information source for the detection and monitoring of violent events, as people very often post publications notifying the occurrence of violent events in real time.
This represents an important opportunity for IT researchers that can provide solutions based on natural language processing for the timely detection of violent incidents in social networks. Solutions of this kind could be used by authorities to respond more efficiently to events happening in real time, and to develop crime prevention policies according to geographical zones and types of events. Likewise, such solutions would be very helpful to the population, as one could know what violent events are happening in which zones in real time.
The DA-VINCIS task focuses on the detection of violent incidents on Twitter. It challenges participants to develop methods able to classify tweets as reporting a violent event or not. For this first edition, the shared task will target Spanish. This is motivated by the lack of resources in Spanish for approaching the task. We are releasing a novel corpus carefully labeled according to violent event categories. The shared task will feature two tracks: (1) violent event identification and (2) violent event category recognition, see below.
More Info at: https://sites.google.com/view/davincis-iberlef/home
Register to the associated mailing list: https://sites.google.com/view/davincis-iberlef/registration
* Important dates *
February 28th 2022: trial data available to participants. March 15th 2022: training data available to participants. May 10th 2022: test data available to participants May 21th 2022: End of evaluation campaign (deadline for submission of runs) Jun 7th 2022: Deadline for paper submission June 21th 2022: Acceptance notification June 28th 2022: Camera ready submission deadline September 2022: Publication of proceedings October 2022: Workshop with SEPLN 2022
* Task organizers *
Luis Joaquin Arellano, INAOE, Mexico Hugo Jair Escalante, INAOE, Mexico Luis Villaseñor, INAOE, Mexico Manuel Montes, INAOE, Mexico Fernando Sánchez, COLMEX, Mexico
Contact hugo.jair at gmail.com