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About Zs Internship Report
1. The document describes building an AI-driven knowledge graph for drug discovery by extracting relationships between entities like genes and diseases from research papers. 2. Named entity recognition is used to identify genes and diseases in sentences, and weak supervision techniques like labeling functions and a BERT model are applied to classify whether relationships exist between the entities and what type of relationships they are. 3. The goal is to reduce the manual effort required for literature review and allow automated updates to the knowledge graph as new papers are ingested.
Detailed Information
| Author: | ['asif mohammad'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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