This paper focuses on the implementation of zero-shot learning for text processing, especially for non-factoid question answering and then summarizes the ...
This paper proposes a framework for non-factoid QA system, which has three main components: (1) a deep neural network classifier, which produces sentence vector ...
This paper proposes a framework for non-factoid QA system ... In this work, zero-shot learning is applied to a non-factoid question answering system,.
Akila Devi T. R., B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. K. Javubar Sathick, B. S. Abdur Rahman Crescent Institute ...
In this work, zero-shot learning is applied to a non-factoid question answering system, which further produces an answer summary for the untrained data ...
The main issue lies in the appropriateness of the generated summary. This paper proposes a framework for non-factoid QA system, which has three main components: ...
The main issue lies in the appropriateness of the generated summary. This paper proposes a framework for non-factoid QA system, which has three main components: ...
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What is Zero-Shot Learning techniques?
May 24, 2023 · This was fed along with questions into the Non-Factoid Question Answering using Zero-Shot Learning (NFQA-ZSL) framework for further refinement.
Sep 26, 2024 · We design a novel zero-shot transfer learning framework, abbreviated as T3, to iteratively training a baseline LLM on an assistant task for the target task.
A novel framework using zero shot learning technique for a non-factoid question answering system. AD TR, KJ Sathick, AAA Khan, LA Raj. International Journal ...