NLPExplorer

TSAR - 2024

Total Papers:- 14

Total Papers accross all years:- 29

Total Citations :- 0

Considering Human Interaction and Variability in Automatic Text Simplification

Jenia Kim | Stefan Leijnen | Lisa Beinborn |

Society of Medical Simplifiers

Chen Lyu | Gabriele Pergola |

Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024)

Difficult for Whom? A Study of Japanese Lexical Complexity

Adam Nohejl | Akio Hayakawa | Yusuke Ide | Taro Watanabe |

EASSE-DE & EASSE-multi: Easier Automatic Sentence Simplification Evaluation for German & Multiple Languages

Regina Stodden |

Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations

OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature

Avi Shmidman | Shaltiel Shmidman |

SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score

Chen Lyu | Gabriele Pergola |

Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication

Miriam Anschütz | Tringa Sylaj | Georg Groh |

Cochrane-auto: An Aligned Dataset for the Simplification of Biomedical Abstracts

Jan Bakker | Jaap Kamps |

Measuring and Modifying the Readability of English Texts with GPT-4

Sean Trott | Pamela Rivière |

MultiLS: An End-to-End Lexical Simplification Framework

Kai North | Tharindu Ranasinghe | Matthew Shardlow | Marcos Zampieri |

CompLex-ZH: A New Dataset for Lexical Complexity Prediction in Mandarin and Cantonese