Abstract
We developed a system for automated construction of knowledge graphs from text data. Specifically, the following are unique features of this system. 1. Feature extraction from raw text and clustering based reduction of synonymous, redundant facts. 2. Link prediction based approach towards confidence scoring of extracted facts. 3. Large-scale profiling of entities in the knowledge graph. 4. Generating natural language based explanation to a restricted class of questions.
Exploratory License
Eligible for exploratory license
Market Sector
Data Sciences