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Found 6 papers, 2 papers with code
Extracting Sentence Embeddings from Pretrained Transformer Models
We also evaluate our representation-shaping techniques on other static models, including random token representations.
Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
Despite this, the task remains challenging because of the inherent complexity of languages and the subjective nature of sentiments.
Towards Lithuanian grammatical error correction
Everyone wants to write beautiful and correct text, yet the lack of language skills, experience, or hasty typing can result in errors.
Correcting diacritics and typos with a ByT5 transformer model
Our approach is also able to restore diacritics in words not seen during training with > 76% accuracy.
Generating abstractive summaries of Lithuanian news articles using a transformer model
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 for abstractive news summarization.
Testing pre-trained Transformer models for Lithuanian news clustering
A recent introduction of Transformer deep learning architecture made breakthroughs in various natural language processing tasks.
