Tran, Mai Vu and Le, Hoang Quynh and Phi, Van Thuy and Pham, Thanh Binh and Nigel, Collier (2016) Exploring a Probabilistic Earley Parser for Event Composition in Biomedical Texts. In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.
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Abstract
We describe a high precision system for extracting events of biomedical significance that was developed during the BioNLP shared task 2013 and tested on the Cancer Genetics data set. Our system explored a multi-stage approach including trigger detection, edge detection and event composition. After trigger edge detection is finished we are left with a semantic graph from which we must select the optimal subset that is consistent with the semantic frames for each event type. The system achieved an F-score on the development data of 73.67 but was ranked 5th out of six with an F-score of 29.94 on the test data. How-ever, precision was the second highest ranked on the task at 62.73. Analysis suggests the need to continue to improve our system for complex events particularly taking into account cross-domain differences in argument distributions.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Dr Ngoc Thang Bui |
| Date Deposited: | 23 May 2016 03:00 |
| Last Modified: | 23 May 2016 03:01 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/1550 |
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