New article describing neural nested event extraction model
2020-06-29
We are pleased to announce the publication of a new article in Bioinformatics, which presents a novel end-to-end neural nested event extraction model named DeepEventMine that extracts multiple overlapping directed acyclic graph structures from a raw sentence. The modell achieves the new state-of-the-art performance on seven biomedical nested event extraction tasks
Trieu, H-L., Tran, T. T., Duong, K. N. A., Nguyen, A., Miwa, M. and Ananiadou, S. (2020). DeepEventMine: End-to-end Neural Nested Event Extraction from Biomedical Texts. Bioinformatics, btaa540. https://doi.org/10.1093/bioinformatics/btaa540
Abstract
Motivation: Recent neural approaches on event extraction from text mainly focus on flat events in general domain, while there are less attempts to detect nested and overlapping events. These existing systems are built on given entities and they depend on external syntactic tools.
Results: We propose an end-to-end neural nested event extraction model named DeepEventMine that extracts multiple overlapping directed acyclic graph structures from a raw sentence. On the top of the Bidirectional Encoder Representations from Transformers (BERT) model, our model detects nested entities and triggers, roles, nested events and their modifications in an end-to-end manner without any syntactic tools. Our DeepEventMine model achieves the new state-of-the-art performance on seven biomedical nested event extraction tasks. Even when gold entities are unavailable, our model can detect events from raw text with promising performance.
Availability and implementation: Our codes and models to reproduce the results are available at: https://github.com/aistairc/DeepEventMine.
Previous item | Next item |
Back to news summary page |
Featured News
- Congratulations to PhD student Panagiotis Georgiades
- 24-month postdoctoral research position in Athens, Greece
- PhD opportunity in collaboration with Athens Univ. of Economics and Business
- iCASE EPSRC funded PhD- multimodal NLP - UoM & BAE - Application deadline 30th April 2024
- CFP: BIONLP 2024 and Shared Tasks @ ACL 2024
- Advances in Data Science and Artificial Intelligence Conference 2024
Other News & Events
- Invited talk at the 8th Annual Women in Data Science Event at the American University of Beirut
- Invited talk at the 2nd Symposium on NLP for Social Good (NSG), University of Liverpool
- Invited talk at Annual Meeting of the Danish Society of Occupational and Environmental Medicine
- New review article on emotion detection for misinformation
- BioNLP 2024 accepted as workshop at ACL 2024