Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches. - Andraz Pelicon; Matej Martinc; Petra Kralj Novak (SemEval@NAACL-HLT, 2019)

EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+. - Matej Martinc; Nina Perger; Andraz Pelicon; Matej Ulcar; Andreja Vezovnik; Senja Pollak (EACL (Hackashop), 2021)

Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. - Andraz Pelicon; Ravi Shekhar; Matej Martinc; Blaz Skrlj; Matthew Purver; Senja Pollak (EACL (Hackashop), 2021)

EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. - Senja Pollak; Marko Robnik-Sikonja; Matthew Purver; Michele Boggia; Ravi Shekhar; Marko Pranjic; Salla Salmela; Ivar Krustok; Tarmo Paju; Carl-Gustav Linden; Leo Leppänen; Elaine Zosa; et al. (EACL (Hackashop), 2021)

Evolution of topics and hate speech in retweet network communities. - Bojan Evkoski; Nikola Ljubesic; Andraz Pelicon; Igor Mozetic; Petra Kralj Novak (Appl. Netw. Sci., 2021)

Online Hate: Behavioural Dynamics and Relationship with Misinformation. - Matteo Cinelli; Andraz Pelicon; Igor Mozetic; Walter Quattrociocchi; Petra Kralj Novak; Fabiana Zollo (CoRR, 2021)

Retweet communities reveal the main sources of hate speech. - Bojan Evkoski; Andraz Pelicon; Igor Mozetic; Nikola Ljubesic; Petra Kralj Novak (CoRR, 2021)

Investigating cross-lingual training for offensive language detection. - Andraz Pelicon; Ravi Shekhar; Blaz Skrlj; Matthew Purver; Senja Pollak (PeerJ Comput. Sci., 2021)

EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media. - Senja Pollak; Andraz Pelicon (EAMT, 2022)

Ensembling Transformers for Cross-domain Automatic Term Extraction. - Tran Thi Hong Hanh; Matej Martinc; Andraz Pelicon; Antoine Doucet; Senja Pollak (ICADL, 2022)

Handling Disagreement in Hate Speech Modelling. - Petra Kralj Novak; Teresa Scantamburlo; Andraz Pelicon; Matteo Cinelli; Igor Mozetic; Fabiana Zollo (IPMU (2), 2022)

Embeddings models for Buddhist Sanskrit. - Ligeia Lugli; Matej Martinc; Andraz Pelicon; Senja Pollak (LREC, 2022)

Multi-task Learning for Features Extraction in Financial Annual Reports. - Syrielle Montariol; Matej Martinc; Andraz Pelicon; Senja Pollak; Boshko Koloski; Igor Loncarski; Aljosa Valentincic; Katarina Sitar Sustar; Riste Ichev; Martin Znidarsic (PKDD/ECML Workshops (2), 2022)

Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. - Andraz Pelicon; Syrielle Montariol; Petra Kralj Novak (IDA, 2023)

Denoising Labeled Data for Comment Moderation Using Active Learning. - Andraz Pelicon; Mladen Karan; Ravi Shekhar; Matthew Purver; Senja Pollak (LREC/COLING, 2024)

Multi-Task Learning for Features Extraction in Financial Annual Reports. - Syrielle Montariol; Matej Martinc; Andraz Pelicon; Senja Pollak; Boshko Koloski; Igor Loncarski; Aljosa Valentincic (CoRR, 2024)

Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis. - Luka Andrensek; Boshko Koloski; Andraz Pelicon; Nada Lavrac; Senja Pollak; Matthew Purver (CoRR, 2024)