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    • Przybyła, Piotr (4)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Investigating Text Simplification Evaluation ... Vásquez-Rodríguez, Laura; Shardlow, Matthew; Przybyła, Piotr; Ananiadou, Sophia. - : arXiv, 2021 Abstract: Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, existing studies show that parallel TS corpora contain inaccurate simplifications and incorrect alignments. Additionally, evaluation is usually performed by using metrics such as BLEU or SARI to compare system output to the gold standard. A major limitation is that these metrics do not match human judgements and the performance on different datasets and linguistic phenomena vary greatly. Furthermore, our research shows that the test and training subsets of parallel datasets differ significantly. In this work, we investigate existing TS corpora, providing new insights that will motivate the improvement of existing state-of-the-art TS evaluation methods. Our contributions include the analysis of TS corpora based on existing modifications used for simplification and an empirical study on TS models performance by using better-distributed datasets. We demonstrate that by improving ... : 7 pages, 3 figures, 1 table ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2107.13662 https://dx.doi.org/10.48550/arxiv.2107.13662 BASE Hide details 2 Investigating Text Simplification Evaluation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ananiadou, Sophia; Przybyła, Piotr. - : Underline Science Inc., 2021 BASE Show details 3 Multi-Word Lexical Simplification ... The 28th International Conference on Computational Linguistics 2020; Przybyła, Piotr; Shardlow, Matthew. - : Underline Science Inc., 2020 BASE Show details 4 Improving reference prioritisation with PICO recognition Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019 BASE Show details

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