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Found 6 papers, 1 papers with code
Unsupervised Approach to Multilingual User Comments Summarization
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.
One model to rule them all: ranking Slovene summarizers
We propose a system that recommends the most suitable summarization model for a given text.
Review of Natural Language Processing in Pharmacology
As our work shows, NLP is a highly relevant information extraction and processing approach for pharmacology.
Slovene SuperGLUE Benchmark: Translation and Evaluation
We present a Slovene combined machine-human translated SuperGLUE benchmark.
Evaluation of contextual embeddings on less-resourced languages
The current dominance of deep neural networks in natural language processing is based on contextual embeddings such as ELMo, BERT, and BERT derivatives.
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language
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.
