Open-Domain Question Answering (QA) Algorithm

An Open-Domain Question Answering (QA) Algorithm is a QA algorithm designed to provide answers to questions over a large, unbounded corpus.

• Context:
  • It can make use of an Information Retrieval Algorithm, Computational Linguistics Algorithm, and Knowledge Representation Algorithm.
  • It can make use of Advanced Natural Language Processing Algorithms (to understand the Semantics and Context of questions).
  • ...
• Example(s):
  • a Neural Open-Domain QA Algorithm, such as a:
    • BERT-based Open-Domain QA Algorithm.
    • GPT-based Open-Domain QA Algorithm.
  • ...
• Counter-Example(s):
  • a Restricted-Domain QA Algorithm, such as: a Medical QA Algorithm or a Legal QA Algorithm.
  • an Open-Domain Multi-Document Summarization Algorithm (a multi-document summarization algorithm)>
• See: Retrieval-Augmented Generating (RAG) Algorithm.

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