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Extracting Sentence Embeddings from Pretrained Transformer Models
Lukas Stankevičius, Mantas Lukoševičius
Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These se…
Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
Brigita Vileikytė, Mantas Lukoševičius, Lukas Stankevičius
Sentiment analysis is a widely researched area within Natural Language Processing (NLP), attracting significant interest due to the advent of automated solutions. Despite this, the…
Generating abstractive summaries of Lithuanian news articles using a transformer model
Lukas Stankevičius, Mantas Lukoševičius
In this work, we train the first monolingual Lithuanian transformer model on a relatively large corpus of Lithuanian news articles and compare various output decoding algorithms fo…