Papers by Julius Monsen

2 papers
Perceived Text Quality and Readability in Extractive and Abstractive Summaries (2022.lrec-1)

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Challenge: Summarisation systems are limited and reflect human judgements poorly, resulting in expensive and inconsistent evaluation methods.
Approach: They conducted an online survey on extractive and abstractive summaries using Swedish news data and used them to produce summary.
Outcome: The summarisation models were trained on Swedish news data and tested on extractive and abstractive summaries.
Controllable Sentence Simplification in Swedish Using Control Prefixes and Mined Paraphrases (2024.lrec-main)

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Challenge: Automated Text Simplification (ATS) systems aim to facilitate readability and comprehension by reducing linguistic complexity.
Approach: They propose to use a dataset of Swedish paraphrases to train ATS models utilizing prefix-tuning with control prefixes to provide more control over the simplification.
Outcome: The proposed model improves on the baseline model and compares with previous models.

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