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Found 5 papers, 4 papers with code
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
We fine-tuned selected models: BERT, RoBERTa, XLNet, of which the best results were obtained for RoBERTa.
OPI at SemEval-2022 Task 10: Transformer-based Sequence Tagging with Relation Classification for Structured Sentiment Analysis
In addition to utilizing language models specific to each of the five competition languages, we also adopted multilingual models.
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods
Our dense models outperform the best solutions available to date, and the use of hybrid methods further improves their performance.
Pre-training Polish Transformer-based Language Models at Scale
We then evaluate our models on thirteen Polish linguistic tasks, and demonstrate improvements over previous approaches in eleven of them.
Evaluation of Sentence Representations in Polish
Methods for learning sentence representations have been actively developed in recent years.
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