NLP systems can then use this knowledge graph to answer questions or generate texts related to these entities and facts. Add your perspective Help others by sharing more (125 characters min.) Cancel ...

Enhance Question Answering using Knowledge Graph. In the rapidly evolving field of natural language processing (NLP), the development of Conversational Chatbots has garnered significant attention for ...

Knowledge Graph Question Answering (KGQA) plays a crucial role in extracting valuable insights from interconnected information. Existing methods, while commendable, face challenges such as contextual ...

This project aims to build a knowledge graph from text data scraped from Onlinekhabar articles and provide a natural language interface for querying the graph. This project involves building a ...

Question decomposition and attention mechanisms are used to split the given question into separate sub-questions, and also to point at preferable parts of the knowledge graph. The proposed system ...

New study uses question and answering to help ensure the accurate update of knowledge graphs – used in recommendation systems and chatbots. In a recent study, published in Data, PhD student Ryan Ong, ...

Microsoft’s researchers propose GraphRAG, which uses AI-generated knowledge graphs to improve question-answering when analyzing complex information. Basic RAG struggles with context − unable to ...