Search Results for author: Evelina Rennes

Found 11 papers, 0 papers with code

The Swedish Simplification Toolkit: – Designed with Target Audiences in Mind

no code implementations READI (LREC) 2022 Evelina Rennes, Marina Santini, Arne Jonsson

The toolkit allows user to selectively decide the types of simplification that meet the specific needs of the target audience they belong to.

Text Simplification

Perceived Text Quality and Readability in Extractive and Abstractive Summaries

no code implementations LREC 2022 Julius Monsen, Evelina Rennes

We present results from a study investigating how users perceive text quality and readability in extractive and abstractive summaries.

NyLLex: A Novel Resource of Swedish Words Annotated with Reading Proficiency Level

no code implementations LREC 2022 Daniel Holmer, Evelina Rennes

Deciding if a word is easy or difficult is not a trivial task, since it depends on characteristics of the word in itself as well as the reader, but it can be facilitated by the help of a corpus annotated with word frequencies and reading proficiency levels.

Is it simpler? An Evaluation of an Aligned Corpus of Standard-Simple Sentences

no code implementations LREC 2020 Evelina Rennes

Parallel monolingual resources are imperative for data-driven sentence simplification research.

Sentence

Visualizing Facets of Text Complexity across Registers

no code implementations LREC 2020 Marina Santini, Arne Jonsson, Evelina Rennes

In this paper, we propose visualizing results of a corpus-based study on text complexity using radar charts.

Similarity-Based Alignment of Monolingual Corpora for Text Simplification Purposes

no code implementations WS 2016 Sarah Albertsson, Evelina Rennes, Arne J{\"o}nsson

The first method (M1) was originally developed for the task of text reuse detection, measuring sentence similarity by a modified version of a TF-IDF vector space model.

Sentence Sentence Similarity +1

The Impact of Cohesion Errors in Extraction Based Summaries

no code implementations LREC 2014 Evelina Rennes, Arne J{\"o}nsson

By the usage of an eye tracking camera, we have studied the nature of four different types of cohesion errors occurring in extraction based summaries.

Text Summarization

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