loujie0822/DeepIE
DeepIE is a repository aggregating papers, benchmarks, and code implementations for deep learning-based information extraction tasks including NER, relation extraction, and event extraction.
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The repository provides comprehensive benchmarks comparing different deep learning approaches (biLSTM, Lattice LSTM, WC-LSTM, LR-CNN) on Chinese NER datasets such as Ontonotes, MSRA, Resume, and Weibo. It curates academic papers from top venues (ACL, IJCAI) on information extraction topics including named entity recognition, relation extraction, and event extraction. The project aggregates resources to help practitioners understand and implement state-of-the-art deep learning methods for structured information extraction from text.
Frequently asked
- What is loujie0822/DeepIE?
- DeepIE is a repository aggregating papers, benchmarks, and code implementations for deep learning-based information extraction tasks including NER, relation extraction, and event extraction.
- Is DeepIE open source?
- Yes — loujie0822/DeepIE is an open-source project tracked on heatdrop.
- What language is DeepIE written in?
- loujie0822/DeepIE is primarily written in Python.
- How popular is DeepIE?
- loujie0822/DeepIE has 1.9k stars on GitHub.
- Where can I find DeepIE?
- loujie0822/DeepIE is on GitHub at https://github.com/loujie0822/DeepIE.