Mining relations from the biomedical literature
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Summary
A methodology to automatically annotate large amounts of unlabeled data for relations, and make use of such annotations in a pattern matching strategy, and a sentence alignment approach that introduces multi-layer alignment, making use of multiple annotations per word.
- Type
- dissertation
- Published
- 2010-02-05
- Cited by
- 7
- References
- 216
- Access
- Open access
- OpenAlex
- https://openalex.org/W1915408880
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:43078479
Keywords
Data science, Information retrieval, Computer science
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Cited by
- A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set
- Simple tricks for improving pattern-based information extraction from the biomedical literature
- Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
- UvA-DARE ( Digital Academic Repository ) Relation extraction methods for biomedical literature
- A Hybrid Approach to Extract and Classify Relation from Biomedical Text
- Relation extraction methods for biomedical literature