3 code implementations • 15 Jul 2020 • Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali
The first four tasks compose the full pipeline of claim verification in social media: Task 1 on check-worthiness estimation, Task 2 on retrieving previously fact-checked claims, Task 3 on evidence retrieval, and Task 4 on claim verification.
no code implementations • 15 Jul 2020 • Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda.
3 code implementations • 21 Jan 2020 • Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari
Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches.
no code implementations • NAACL 2018 • Israa Jaradat, Pepa Gencheva, Alberto Barron-Cedeno, Lluis Marquez, Preslav Nakov
We present ClaimRank, an online system for detecting check-worthy claims.
3 code implementations • 8 Mar 2018 • Tsvetomila Mihaylova, Preslav Nakov, Lluis Marquez, Alberto Barron-Cedeno, Mitra Mohtarami, Georgi Karadzhov, James Glass
Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information.
no code implementations • 4 Oct 2017 • Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno, Shafiq Joty, Lluis Marquez, Alessandro Moschitti, Preslav Nakov
We compare a kernel-based system with a feed-forward neural network in a scenario where a large parallel corpus is available for training a machine translation system, bilingual dictionaries, and cross-language word embeddings.
1 code implementation • RANLP 2017 • Georgi Karadzhov, Preslav Nakov, Lluis Marquez, Alberto Barron-Cedeno, Ivan Koychev
Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims.