Definition
Question Answering (QA) involves retrieving or generating accurate responses to user queries from a given context or knowledge base. It ranges from closed-domain QA, which relies on specific documents, to open-domain QA, which uses vast amounts of external data. Modern QA systems leverage transformer architectures to understand semantic intent and extract relevant information, powering virtual assistants, search engines, and customer support bots.
Summary
An NLP task where a system automatically provides precise answers to questions posed in natural language.
Key Concepts
- Information Retrieval
- Semantic Understanding
- Contextual Extraction
- Natural Language Processing
Use Cases
- Virtual Assistants
- Search Engines
- Customer Support Automation