Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources.
Yiming LiDeepthi ViswaroopanWilliam HeJianfu LiXu ZuoHua XuCui TaoPublished in: CoRR (2024)
Keyphrases
- language model
- multiple sources
- deep learning
- event extraction
- fine tuned
- language modeling
- cross lingual
- n gram
- information extraction
- unsupervised learning
- information retrieval
- retrieval model
- probabilistic model
- document retrieval
- query expansion
- test collection
- machine learning
- domain specific
- data sources
- information access
- news articles
- information fusion
- decision trees
- named entities
- relevance model
- document level
- pairwise
- natural language
- bayesian networks