Project: CANTOR: Automated Composition of Personal Narratives as an aid for Occupational Therapy based on Reminescence

CANTOR: Automated Composition of Personal Narratives as an aid for Occupational Therapy based on Reminescence

Category:: Project
Acronym:: CANTOR
Full name:: CANTOR: Automated Composition of Personal Narratives as an aid for Occupational Therapy based on Reminescence
URL:: http://nil.fdi.ucm.es/?q=projects%2Fcantor

LREC Papers involving CANTOR: Automated Composition of Personal Narratives as an aid for Occupational Therapy based on Reminescence

Automated Extraction of Prosodic Structure from Unannotated Sign Language Video
Sevilla, Antonio F. G. | Lahoz-Bengoechea, José María | Díaz Esteban, Alberto (2024)

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@inproceedings{sevilla-etal-2024-prosodic:lrec,
  author    = {Sevilla, Antonio F. G. and Lahoz-Bengoechea, Jos{\'e} Mar{\'i}a and D{\'i}az Esteban, Alberto},
  title     = {Automated Extraction of Prosodic Structure from Unannotated Sign Language Video},
  pages     = {1808--1816},
  editor    = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
  booktitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)},
  publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}},
  address   = {Torino, Italy},
  day       = {20--25},
  month     = may,
  year      = {2024},
  isbn      = {978-2-493814-10-4},
  language  = {english},
  url       = {https://aclanthology.org/2024.lrec-main.161}
}