IndexFziQ/KMRC-Papers

A list of recent papers regarding knowledge-based machine reading comprehension.

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This is a curated list of academic papers focusing on how external knowledge can enhance a machine's ability to understand text and answer questions. It categorizes research by the type of question-answering task and includes survey papers and benchmark datasets. Researchers and practitioners in natural language processing (NLP) and artificial intelligence would use this to stay updated on advancements and find relevant work in knowledge-based machine reading comprehension.

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Use this if you are an NLP researcher or AI developer looking for a comprehensive, categorized list of academic papers on knowledge-based machine reading comprehension.

Not ideal if you are looking for ready-to-use code, pre-trained models, or a general introduction to machine reading comprehension.

Natural Language Processing Machine Reading Comprehension Artificial Intelligence Research Knowledge Graphs Academic Literature Review
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MIT

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Nov 03, 2020

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