Search Results for author: Aleš Žagar

Found 6 papers, 1 papers with code

Unsupervised Approach to Multilingual User Comments Summarization

1 code implementation EACL (Hackashop) 2021 Aleš Žagar, Marko Robnik-Šikonja

The research on the summarization of user comments is still in its infancy, and human-created summarization datasets are scarce, especially for less-resourced languages.

Extractive Summarization Sentence

One model to rule them all: ranking Slovene summarizers

no code implementations20 Jun 2023 Aleš Žagar, Marko Robnik-Šikonja

We propose a system that recommends the most suitable summarization model for a given text.

Text Summarization

Evaluation of contextual embeddings on less-resourced languages

no code implementations22 Jul 2021 Matej Ulčar, Aleš Žagar, Carlos S. Armendariz, Andraž Repar, Senja Pollak, Matthew Purver, Marko Robnik-Šikonja

The current dominance of deep neural networks in natural language processing is based on contextual embeddings such as ELMo, BERT, and BERT derivatives.

Dependency Parsing

Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language

no code implementations8 Dec 2020 Aleš Žagar, Marko Robnik-Šikonja

Automatic evaluation shows that the summaries of our best cross-lingual model are useful and of quality similar to the model trained only in the target language.

Abstractive Text Summarization Cross-Lingual Transfer +2

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