Question Answering Meta Guide


Question answering (QA) systems are a type of artificial intelligence that are designed to answer questions posed by humans in natural language. These systems are designed to understand the meaning and intent behind a question, and to provide a relevant and accurate answer in response.

QA systems are used in a wide range of applications, including search engines, virtual assistants, and customer service systems. They are designed to be able to understand and interpret a wide range of questions and to provide answers that are accurate and relevant to the question being asked.

There are several different types of QA systems, including rule-based systems, which rely on predefined rules and information to generate answers, and machine learning-based systems, which use data and algorithms to learn how to generate accurate answers. Machine learning-based QA systems are typically more flexible and adaptable than rule-based systems, as they can learn and improve over time based on new data and experiences.


  • .. a community for advancement of question answering systems
  • poweraqua .. a multi-ontology-based question answering system


See also:

100 Best Chatbot Answers | 100 Best MSN Chatbot AnswersAnswer Extraction Module | answerdevicesBest Question Answering System VideosQuestion Analysis Module | Question Answering Module | Question Classifier Module | Question Generator Module | Question Processing Module | Question-Answer Pairs & Dialog Systems