Towards Opinion Summarization of Customer Reviews. - Samuel Pecar (ACL (3), 2018)

NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing. - Samuel Pecar; Michal Farkas; Marián Simko; Peter Lacko; Mária Bieliková (WASSA@EMNLP, 2018)

Improving Sentiment Classification in Slovak Language. - Samuel Pecar; Marián Simko; Mária Bieliková (BSNLP@ACL, 2019)

NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining. - Samuel Pecar; Marián Simko; Mária Bieliková (SemEval@NAACL-HLT, 2019)

A Combined Approach to Automatic Taxonomy Extraction. - Samuel Pecar; Marián Simko (SMAP, 2019)

NLFIIT at SemEval-2020 Task 11: Neural Network Architectures for Detection of Propaganda Techniques in News Articles. - Matej Martinkovic; Samuel Pecar; Marián Simko (SemEval@COLING, 2020)

Automatic Text Generation in Slovak Language. - Dominik Vasko; Samuel Pecar; Marián Simko (SOFSEM, 2020)

Exploiting Subjectivity Knowledge Transfer for End-to-End Aspect-Based Sentiment Analysis. - Samuel Pecar; Marián Simko (TDS, 2021)

Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective. - Ivan Srba; Gabriele Lenzini; Matús Pikuliak; Samuel Pecar (CoRR, 2021)

Evaluation of end-to-end aspect-based sentiment analysis methods employing novel benchmark dataset for aspect, and opinion review analysis. - Samuel Pecar; Tobias Daudert; Marián Simko (Intell. Data Anal., 2022)