Search Results for author: Andrei Paraschiv

Found 4 papers, 1 papers with code

UPB @ ACTI: Detecting Conspiracies using fine tuned Sentence Transformers

no code implementations28 Sep 2023 Andrei Paraschiv, Mihai Dascalu

Conspiracy theories have become a prominent and concerning aspect of online discourse, posing challenges to information integrity and societal trust.

Binary Classification Classification +3

UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification

1 code implementation SemEval (NAACL) 2022 Andrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel

In recent times, the detection of hate-speech, offensive, or abusive language in online media has become an important topic in NLP research due to the exponential growth of social media and the propagation of such messages, as well as their impact.

Abusive Language Hate Speech Detection

UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection

no code implementations SEMEVAL 2021 Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu

The real-world impact of polarization and toxicity in the online sphere marked the end of 2020 and the beginning of this year in a negative way.

Toxic Spans Detection

UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT

no code implementations SEMEVAL 2020 Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu

Manipulative and misleading news have become a commodity for some online news outlets and these news have gained a significant impact on the global mindset of people.

Propaganda span identification

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