54 citations · 230 across the 42 of their papers we have counts for
8 papers · 1 filter
Improving Generalization for Multimodal Fake News Detection
Sahar Tahmasebi, Sherzod Hakimov, Ralph Ewerth +1
The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-th…
MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar +3
In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work o…
TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
Sherzod Hakimov, Gullal S. Cheema, Ralph Ewerth
The detection of offensive, hateful content on social media is a challenging problem that affects many online users on a daily basis. Hateful content is often used to target a grou…
Combining Textual Features for the Detection of Hateful and Offensive Language
Sherzod Hakimov, Ralph Ewerth
The detection of offensive, hateful and profane language has become a critical challenge since many users in social networks are exposed to cyberbullying activities on a daily basi…
Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers
Arthur Brack, Anett Hoppe, Pascal Buschermöhle +1
Sequential sentence classification deals with the categorisation of sentences based on their content and context. Applied to scientific texts, it enables the automatic structuring…
Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth
In this digital age of news consumption, a news reader has the ability to react, express and share opinions with others in a highly interactive and fast manner. As a consequence, f…