Answer Extraction System by Question Type from Query-Biased Summary for Newspaper Articles
نویسنده
چکیده
Recently many researchers are focusing on the application of Natural Language Processing NLP techniques such as summarization infor mation extraction and text mining One of the challenges with these technologies is developing an accurate Question and Answering System In this paper we will discuss Japanese Q A prob lematic issues that have appeared in my experi mental system My system is implemented with query biased summarization techniques to mine from a number of documents
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