Tuning HeidelTime for identifying time expressions in clinical texts in English and French. In Proceedings of the 5th International Workshop on Health Text ...
We present work on tuning the Heideltime system for identifying time expressions in clinical texts in English and French languages.
Another extension of HeidelTime was presented by Hamon and Grabar [10] , which is able to work with clinical narratives in English and French. This last work ...
Tuning the Heideltime system for identifying time expressions in clinical texts in English and French languages and achieves a 0.8500 F-measure on the ...
Grabar, Tuning HeidelTime for identifying time expressions in clinical texts in English and French, in: 5th International Workshop on Health Text Mining and ...
May 15, 2018 · Tuning HeidelTime for identifying time expressions in clinical texts in English and French. In Proceedings of the 5th International Workshop ...
... time expressions, and develop methods to identify time expressions from free text. ... Temporal Tagging of Noisy Clinical Texts in ... English, Spanish ...
Time expression recognition mainly consists of two stages: (1) feature extraction and (2) model learning and tagging. When extracting features we set a ...
A NLP-based semi-automatic identification system for delays in ...
www.ncbi.nlm.nih.gov › PMC11040851
Apr 23, 2024 · 42. Hamon T, Grabar N. Tuning HeidelTime for identifying time expressions in clinical texts in English and French. In: Proceedings of the 5th ...
Tuning HeidelTime for identifying time expressions in clinical texts in English and French · A semi-supervised approach for temporal information extraction from ...