Papers by Graciela Hernandez

1 papers
Automatic sentence segmentation of clinical record narratives in real-world data (2024.emnlp-main)

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Challenge: Sentence segmentation is a linguistic task used as a pre-processing step in many NLP applications.
Approach: They propose a sequence labeling classifier that predicts sentence spans using a dynamic sliding window based on the prediction of each input sequence.
Outcome: The proposed method outperforms state-of-the-art systems on clinical notes and on five other datasets to assess its generalizability and performance.

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