Papers with ML approaches
Annotation of a Large Clinical Entity Corpus (D18-1)
Copied to clipboard
| Challenge: | Past researches have shown the superiority of statistical/ML approaches over the rule based approaches. |
| Approach: | They propose to annotate a clinical domain annotated corpus using a small data set or a narrower domain to take full advantage of machine learning. |
| Outcome: | The proposed corpus contains 5,160 clinical documents from forty different clinical specialties. |
Weak Supervision for Learning Discourse Structure (D19-1)
Copied to clipboard
| Challenge: | a weak supervision approach is a promising tool for learning discourse structure for multi-party dialogue. |
| Approach: | They propose a data programming paradigm that allows a user to label training data using expert-composed heuristics and transform them into probability distributions of the class labels. |
| Outcome: | The proposed approach outperforms both deep learning and traditional ML approaches on the task of learning discourse structure for multi-party dialogue. |