Kindly circulate the CFP for TRAC - 2020 among those who might be interested. ...........................................................................
* Second Workshop on Trolling, Aggression and Cyberbullying (TRAC – 2)*
* @ LREC 2020* * 16 May, 2020, Palais du Pharo, Marseille, France* ............................................................ .................
*Website*: https://sites.google.com/view/trac2/home <https://sites.google.com/view/trac/home> *LREC website: <https://lrec2020.lrec-conf.org/en/>* https://lrec2020.lrec-conf.org/en/ *Submit papers on*: https://www.softconf.com/lrec2020/TRAC2/ *Contact email*: comma.kmi at gmail.com
*Call for Papers*
As the number of people and their interaction over the web has increased, incidents of aggression and related activities like trolling, cyberbullying, flaming, abusive, offensive and hate speech, have also increased manifold globally. The reach and extent of Internet has given such incidents unprecedented power and influence to affect the lives of billions of people. It has been reported that such incidents of online abuse have not only created mental and psychological health issues for users, but they have impacted our lives in many other ways, spanning from deactivating accounts to instances of self-harm and suicide. NLP and related methods have shown great promise in dealing with such abusive behavior through early detection of inflammatory content.
This workshop focuses on the applications of NLP and Machine Learning to tackle these issues.
We invite original, unpublished research papers as well as demos around the following themes and areas of research:
Theories and models of aggression and conflict in language.
Trolling, hate speech, cyberbullying and aggression on the web.
Multilingualism and aggression.
Resource Development - Corpora, Annotation Guidelines and Best Practices
for aggression, trolling and cyberbullying detection
Computational Models and Methods for aggression, cyberbullying, hate
speech and offensive language detection in text and speech.
Automatic detection of physical threats on the web.
Censorship, moderation and content governance on the web: ethical, legal
and technological issues and challenges.
The LRE 2020 Map and the "Share your LRs!" initiative
When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research.
Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).
The workshop includes two shared tasks as detailed below -
*Sub-task A: Aggression Identification Shared Task*. The task will be to develop a classifier that could make a 3-way classification in between ‘Overtly Aggressive’, ‘Covertly Aggressive’ and ‘Non-aggressive’ text data. We are making available a dataset of 5,000 aggression-annotated data from social media each in Bangla (in both Roman and Bangla script), Hindi (in both Roman and Devanagari script) and English for training and validation. We will release additional data for testing your system. The train and test sets for the tasks are different from the ones made available during TRAC - 1.
*Sub-task B: Misogynistic Aggression Identification Shared Task*: This task will be to develop a binary classifier for classifying the text as ‘gendered’ or ‘non-gendered’. We will provide a dataset of 5,000 annotated data from social media each in Bangla (in both Roman and Bangla script), Hindi (in both Roman and Devanagari script) and English for training and validation. We will release additional data for testing your system.
Please *click here to register <https://docs.google.com/forms/d/e/1FAIpQLSdEUHmYM6dRtbSBLSANGmCHT8DEi3r2T6QPXEVngDMaPrxeJg/viewform>* for the shared tasks and get the dataset.
The papers might be submitted for one of the following categories -
Long Paper (completed work - 4-8 pages, excluding references)
Short Paper (work in progress - upto 4 pages, excluding references)
Demo of a working system/library / API (described in maximum 2 pages,
with a link to the actual system, if available) - we strongly prefer
open-source and free systems for demo at the workshop.
Both long and short papers may be presented using PowerPoint or Poster,
depending on the medium that is considered most appropriate for the paper
by the Program Committee. Please note the workshop does not make any
hierarchical distinction between papers and posters and the decision does
NOT reflect the quality of the paper - the choice between the two mediums
of the presentation will only be made based on its suitability and
appropriateness for presenting the content of the paper.
Submissions should be formatted according to the LREC 2020 template (
https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/) - these
are provided in LaTeX and also Microsoft Word format on the LREC Website.
As with the main conference, submissions will only be accepted in PDF
format and deviations from the provided templates will result in rejections
without review. Papers are to be submitted by the end of the deadline day
via the workshop's SoftConf site (
*Short paper, Long paper, Poster and Demo Dates*
*Submission of Paper: February 07, 2020* Notification of acceptance: March 13, 2020 Camera-ready version: April 02, 2020 Workshop Date: May 16, 2020
*Shared Task Dates*
*Training set release for shared task: January 25, 2020* Test set release: February 18, 2020 Submissions due: February 20, 2020 Results announcement: February 25, 2020 System papers deadline: March 08, 2020
*Contact* For any further queries/clarifications, please send us an email to comma.kmi at gmail.com
Sincerely, Organizers, TRAC - 2020 -- -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 21195 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20191227/550f275b/attachment.txt>