Results 21 to 30 of about 39,799,637 (283)
MeaningBERT: assessing meaning preservation between sentences
Frontiers in Artificial Intelligence, 2023 In the field of automatic text simplification, assessing whether or not the meaning of the original text has been preserved during simplification is of paramount importance.
David Beauchemin +2 more
doaj +1 more source
Automatic Text Simplification for German
Frontiers in Communication, 2022 The article at hand aggregates the work of our group in automatic processing of simplified German. We present four parallel (standard/simplified German) corpora compiled and curated by our group.
Sarah Ebling +6 more
doaj +1 more source
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Natural language processing encompasses several tasks, one of which is the automatic text simplification. Telling whether one text is simpler than another involves not only knowledge about the language being analyzed, but also a cultural knowledge of the
Lucas Mucida +2 more
doaj +1 more source
Context-Preserving Text Simplification
CoRR, 2021 We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences. Using a set of linguistically principled transformation patterns, input sentences are converted into a hierarchical representation in the form of core sentences and ...
Christina Niklaus +3 more
openaire +2 more sources
Umanistica Digitale, 2023 Medical reports are a fundamental text type in the life of patients, but also one of the most difficult ones to understand by non-specialists. For this reason, software tools specifically devoted to the simplification of medical texts, including reports,
Ottavia Carlino
doaj +1 more source
, 2023 Simplification: a Python library for line simplification using the Ramer-Douglas-Peucker or Visvaligam-Whyatt algorithmsIf you use this software, please cite it using these ...
Hügel, Stephan
core +4 more sources
Investigating Text Simplification Evaluation [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 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 ...
Laura Vásquez-Rodríguez +3 more
openaire +4 more sources
Text Simplification as Tree Labeling [PDF]
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016 We present a new, structured approach to text simplification using conditional random fields over top-down traversals of dependency graphs that jointly predicts possible compressions and paraphrases. Our model reaches readability scores comparable to word-based compression approaches across a range of metrics and human judgements while maintaining more
Joachim Bingel, Anders Søgaard
openaire +2 more sources
Unsupervised Neural Text Simplification [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 The paper presents a first attempt towards unsupervised neural text simplification that relies only on unlabeled text corpora.The core framework is composed of a shared encoder and a pair of attentional-decoders, crucially assisted by discrimination-based losses and denoising.The framework is trained using unlabeled text collected from en-Wikipedia ...
Sai Surya +4 more
openaire +3 more sources
Unsupervised Simplification of Legal Texts
CoRR, 2022 The processing of legal texts has been developing as an emerging field in natural language processing (NLP). Legal texts contain unique jargon and complex linguistic attributes in vocabulary, semantics, syntax, and morphology. Therefore, the development of text simplification (TS) methods specific to the legal domain is of paramount importance for ...
Mert Cemri, Tolga Çukur, Aykut Koç
openaire +2 more sources