18 citations · 21 across the 5 of their papers we have counts for
6 papers · 1 filter
Are Triggers Needed for Document-Level Event Extraction?
Shaden Shaar, Wayne Chen, Maitreyi Chatterjee +3
Most existing work on event extraction has focused on sentence-level texts and presumes the identification of a trigger-span -- a word or phrase in the input that evokes the occurr…
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed +16
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to…
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Shaden Shaar, Firoj Alam, Giovanni Da San Martino +4
We present the results and the main findings of the NLP4IF-2021 shared tasks. Task 1 focused on fighting the COVID-19 infodemic in social media, and it was offered in Arabic, Bulga…
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov +9
We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in two different languages: English and Arabic. The first four tasks com…
That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov +1
The recent proliferation of "fake news" has triggered a number of responses, most notably the emergence of several manual fact-checking initiatives. As a result and over time, a la…
Prta: A System to Support the Analysis of Propaganda Techniques in the News
Giovanni Da San Martino, Shaden Shaar, Yifan Zhang +3
Recent events, such as the 2016 US Presidential Campaign, Brexit and the COVID-19 "infodemic", have brought into the spotlight the dangers of online disinformation. There has been…