A shared task on Sarcasm Detection As part of the FigLang 2020 workshop, we are organizing a shared task on sarcasm detection. Sarcasm detection has received considerable attention in the NLP community in recent years (Joshi, 2016). This current shared task aims to study the role of conversation context for sarcasm detection (Ghosh et al., 2018). We will be using two different datasets: Twitter conversations and conversation threads from Reddit. For both datasets, we will provide the immediate context (i.e., only the previous dialogue turn) as well as the full dialogue thread, when available. The goal is to understand how much conversation context is needed or helpful for sarcasm detection.
For more information about the shared task and to participate visit our CodaLab site<https://www.google.com/url?q=https%3A%2F%2Fcompetitions.codalab.org%2Fcompetitions%2F22247&sa=D&sntz=1&usg=AFQjCNGWNqb_zTYjCeiR0pn1TjKGcLvpig>. Important dates: * January 19, 2020: CodaLab competition is open; training data can be downloaded * February 19, 2020: Test data can be downloaded, and results submitted; performance will be tracked on CodaLab dashboard * March 22, 2020: Last day for submitting predictions on test data * April 18, 2020: Papers describing the systems are due * May 8, 2020: Notification of acceptance * May 18, 2020: Camera-ready papers due * July 9-10, 2020: Workshop Contact * Debanjan Ghosh<mailto:dgh...@ets.org> * Smaranda Muresan<mailto:sm...@columbia.edu> ________________________________ This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited. Thank you for your compliance. ________________________________
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