Papers by Fabian Haak

2 papers
ARTS: Assessing Readability & Text Simplicity (2024.findings-emnlp)

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Challenge: Existing text simplification evaluation measures do not include simplicity labels on text level, as they are mainly based on a relational concept.
Approach: They propose a method for language-independent construction of datasets for simplicity assessment using pairwise comparisons of texts in conjunction with an Elo algorithm to produce a simplicity ranking and simplicity scores.
Outcome: The proposed method produces a ranking and simplicity scores for human-labeled and three GPT-labelled datasets.
BATS: BenchmArking Text Simplicity 🦇 (2024.findings-acl)

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Challenge: Existing studies on text simplification focus on the difference between a source text and its simplified variant.
Approach: They propose to use a dataset to assess the overall simplicity of text.
Outcome: The proposed method compared 15 datasets on text simplification and their impact on the overall simplicity of text.

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