Search Results for author: Lukas Stankevičius

Found 6 papers, 2 papers with code

Extracting Sentence Embeddings from Pretrained Transformer Models

no code implementations15 Aug 2024 Lukas Stankevičius, Mantas Lukoševičius

We also evaluate our representation-shaping techniques on other static models, including random token representations.

Clustering Retrieval-augmented Generation +6

Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models

no code implementations29 Jul 2024 Brigita Vileikytė, Mantas Lukoševičius, Lukas Stankevičius

Despite this, the task remains challenging because of the inherent complexity of languages and the subjective nature of sentiments.

Sentiment Analysis

Towards Lithuanian grammatical error correction

1 code implementation18 Mar 2022 Lukas Stankevičius, Mantas Lukoševičius

Everyone wants to write beautiful and correct text, yet the lack of language skills, experience, or hasty typing can result in errors.

Grammatical Error Correction

Generating abstractive summaries of Lithuanian news articles using a transformer model

1 code implementation23 Apr 2021 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 for abstractive news summarization.

Articles News Summarization

Testing pre-trained Transformer models for Lithuanian news clustering

no code implementations3 Apr 2020 Lukas Stankevičius, Mantas Lukoševičius

A recent introduction of Transformer deep learning architecture made breakthroughs in various natural language processing tasks.

Clustering XLM-R

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