Abstract
The First Challenge of Drug-Drug Interaction Extraction (DDIExtraction 2011) involves doing a binary DDI detection to determine whether a drug pair in a given sentence (with annotated drug names) has interaction information. This may be the first attempt at extraction of drug interaction information in wide community. In this paper we compare and evaluate the effectiveness of different strategies of example generation from texts and different feature types for drug relation extraction. The comparative results show that (1) drug interaction classification at drug entity pair level performs better than that at sentence level; (2) simple NLP output does not improve performance and more advanced way of incorporating NLP output need to be explored.
| Original language | English |
|---|---|
| Pages (from-to) | 75-82 |
| Number of pages | 8 |
| Journal | CEUR Workshop Proceedings |
| Volume | 761 |
| State | Published - 2011 |
| Event | 1st Challenge Task on Drug-Drug Interaction Extraction 2011, DDIExtraction 2011 - Co-located with the 27th Conference of the Spanish Society for Natural Language Processing, SEPLN 2011 - Huelva, Spain Duration: 7 Sep 2011 → 7 Sep 2011 |