Conference paper
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder
- Authors
- Tang, Zheng, Hahn-Powell, Gus, Surdeanu, Mihai
- Venue
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Pages
- 169–175
Links
Related Projects
Scientific Information Extraction and Knowledge Assembly
Biomedical and scientific machine-reading work around extracting events, assembling evidence, and building inspectable knowledge structures.
Neuro-symbolic AI for Interpretable Information Extraction
Research on executable, editable extraction programs that combine linguistic structure, neural assistance, provenance, and human review.