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Detect and Classify – Joint Span Detection and Classification for Health Outcomes ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.686/ Abstract: Jointly detecting and classifying outcomes (measurements or observations used to capture and assess the effect of a treatment in clinical trials) leverages the relationship between an outcome span mentioned in a clinical trial abstract and it's category or type. Treating the detection process as a token-level task and the classification process as a sentence-level task enables us utilize the structural correspondences between the two levels inorder to successfully simulataneously achieve detection and classification of this biomedical entity. Ultimately, we erase the need of multiple models for each task because we don't compromise the standalone performance and matter of fact outperform standalone performance. We also propose a scalable and flexible approach to align comparable datasets, which we adopt to align arbitrary classifications in prior dataset to standardardised classification for health outcomes. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/wp21-2p43
https://underline.io/lecture/37662-detect-and-classify-joint-span-detection-and-classification-for-health-outcomes
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Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance ...
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