Papers by Ferdinand Schlatt
Mining Health-related Cause-Effect Statements with High Precision at Large Scale (2022.coling-1)
Copied to clipboard
| Challenge: | Existing methods for assessing the health relatedness of phrases and sentences are slower and less effective than state-of-the-art medical entity linkers. |
| Approach: | They propose a termhood score that achieves 69% recall at over 90% precision on a web dataset with cause-effect statements. |
| Outcome: | The proposed method achieves 69% recall at over 90% precision on a web dataset with cause-effect statements. |