In this paper, we use extractive multi-document summarization techniques to perform complex question answering and formulate it as a reinforcement learning ...
Feb 16, 2011 · In this paper, we present a novel rein- forcement learning framework for answering complex ques- tions using an extractive multi-document ...
Chali Y, Hasan SA, Imam K. {A Reinforcement Learning Framework for Answering Complex Questions}, in Proceedings of the 16th International Conference on ...
Feb 16, 2011 · In this paper, we present a novel rein- forcement learning framework for answering complex ques- tions using an extractive multi-document ...
A new adaptive reinforcement learning (ARL) framework is proposed to learn a better and interpretable model for complex KBQA.
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We use extractive multi-document summarization techniques to perform complex question answering and formulate it as a reinforcement learning problem. Given a ...
A new adaptive reinforcement learning (ARL) framework is proposed to learn a better and interpretable model for complex KBQA.
Missing: questions. | Show results with:questions.
We use extractive multi-document summarization techniques to perform complex ques- tion answering and formulate it as a reinforcement learning problem.
We use extractive multi-document summarization techniques to perform complex question answering and formulate it as a reinforcement learning problem.
VCG aims to generate descriptions for a given image with the goal of scene understanding, while VQA asks visual questions and requires an answer to it. Research ...