Papers by Anirudh Joshi
Reevaluating Argument Component Extraction in Low Resource Settings (D19-61)
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| Challenge: | Argument component extraction is a challenging and complex high-level semantic extraction task. |
| Approach: | They propose to use character-level, GloVe, ELMo, and BERT encodings to compare arguments extracted using standard BiLSTM-CRF encoders. |
| Outcome: | The proposed approaches perform better than baselines in higher-level semantic extraction tasks and suggest future improvements. |
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. (2020.findings-emnlp)
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| Challenge: | Summarization of medical conversations addresses a very real need in medical practice: capturing the most important aspects of a medical encounter. |
| Approach: | They propose a novel approach to medical conversation summarization that leverages the unique and independent local structures created when gathering a patient’s medical history. |
| Outcome: | The proposed model captures most or all of the information in 80% of the medical conversations making it a realistic alternative to costly manual summarization by medical experts. |