Papers by Adith Iyer

1 papers
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection (P19-1)

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Challenge: Past work in personal health mention detection uses classification-based methods with human-engineered features or word embedding-based features.
Approach: They propose to combine a pipeline-based and a feature augmentation-based approach to combine personal health mention detection with figurative usage detection to improve the accuracy of the prediction.
Outcome: The proposed method improves the F-score of personal health mention detection by 2.21% over the pipeline-based approach and feature augmentation-based approaches.

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