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Open Domain Question Answering Using
Early Fusion of Knowledge Bases and Text
Haitian Subhuman Bhangra
Mail Career
Kathryn Mastitis
Russian Salakhutdinov
William W. Cohen
School of Computer Science
Carnegie
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What is open domain question answering?
Open domain question answering is a form of machine learning that allows for answering questions on a wide range of topics without being restricted to a specific domain or database.
Who is required to file open domain question answering?
There is no specific requirement for who must file open domain question answering as it is a technology used for information retrieval and knowledge dissemination.
How to fill out open domain question answering?
Open domain question answering can be filled out by implementing algorithms and models that can process and understand natural language queries to generate relevant answers.
What is the purpose of open domain question answering?
The purpose of open domain question answering is to provide accurate and reliable answers to questions from a wide variety of topics, enabling users to access information more efficiently.
What information must be reported on open domain question answering?
The information reported on open domain question answering includes the query or question posed by the user, the system's generated answer, and any relevant supporting data or sources.
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