Natural language processing to build a semantic database

The podcast explains how search engines such as Google use Natural Language Processing (NLP) to build semantic databases such as the Google Knowledge Graph. He describes the structure of the Knowledge Graph as an entity-based index system, the different data sources (structured, semi-structured and unstructured), and the role of NLP technologies such as BERT and MUM in the extraction and validation of information. The Knowledge Vault is presented as a possible caching system for the validation of data from unstructured sources. Finally, the importance of NLP for improving search engine results, especially through passage ranking, is emphasized. https://www.kopp-online-marketing.com/natural-language-processing-to-build-a-semantic-database