Domain-Specific (DS) Automated Question Answering (QA) Task

AKA: Restricted-Domain QA, DS-QA.
Context:
- input: Application Domain, Domain-Specific Questions.
  - intput (optional): Knowledge Base.
- measure: DS QA Performance Measure.
- It can be solved by a Domain-Specific Question Answering System (that implements a domain-specific question answering algorithm.
- It can be associated with a DS QA Evaluation Task.
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Example(s):
- a Product-Related Question Answering Task to answer product-related questions (such as on product features).
- a Health-Related Question Answering Task to answer medical questions (such as on medical treatment options or disease diagnosis).
- a Law-Related Question Answering Task to answer legal questions (such as on contract law or legal precedent).
- a GMRKB-based Question Answering Task using a specific knowledge base like GM-RKB for domain-specific inquiries.
- a Domain-Specific Definitional Question Answering Task to provide definitions and explanations of specialized concepts.
- a KB-based QA Task that assumes access to a domain-specific KB for answering queries using specialized knowledge bases.
- …
Counter-Example(s):
- Open-Domain Question Answering, for general knowledge questions.
- Domain-Specific Summarization, for domain-specific summarization questions.
See: Domain Specific.

References

GBard
- A domain-specific question answering (DS-QA) task is a type of question answering (QA) task where the questions and answers are restricted to a specific domain, such as law, medicine, or finance. This is in contrast to open-domain QA tasks, where the questions and answers can be about anything.
  DS-QA tasks are typically more challenging than open-domain QA tasks, because the models need to have a deep understanding of the specific domain in order to answer the questions correctly. However, they can also be more rewarding, as they can be used to build systems that can provide real-world benefits, such as legal chatbots or medical diagnosis assistants.