Papers with machine learning-based systems
Joint Entity Extraction and Assertion Detection for Clinical Text (P19-1)
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| Challenge: | Existing systems for in-formation extraction treat negative medical findings as a pipeline of two separate tasks. |
| Approach: | They propose a multi-task neural model to jointly extract entities and negations from medical reports. |
| Outcome: | The proposed model performs considerably better than existing systems on a 2010 i2b2/VA challenge dataset and a proprietary de-identified clinical dataset. |
Utilizing Large Twitter Corpora to Create Sentiment Lexica (L18-1)
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| Challenge: | Existing sentiment analysis systems only use word unigrams and bigrams, but lexicons using sentiment lexica are effective. |
| Approach: | They describe an automatic Twitter sentiment lexicon creator and a lexico-based sentiment analysis system. |
| Outcome: | The proposed system outperforms a manually annotated system in a comparison experiment. |