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Found 5 papers, 1 papers with code
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning
In this paper, we describe the systems developed by our team for SemEval-2020 Task 9 that aims to cover two well-known code-mixed languages: Hindi-English and Spanish-English.
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis
Users from the online environment can create different ways of expressing their thoughts, opinions, or conception of amusement.
UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction
This work presents our contribution in the context of the 6th task of SemEval-2020: Extracting Definitions from Free Text in Textbooks (DeftEval).
UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models
Offensive language detection is one of the most challenging problem in the natural language processing field, being imposed by the rising presence of this phenomenon in online social media.
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles
This paper describes the solutions submitted by the UPB team to the AuTexTification shared task, featured as part of IberLEF-2023.
