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Multi-sentence compression-construct knowledge using paraphrased text and vertical crawling

机译:多句压缩使用释义文本和垂直爬网来构建知识

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It is truly said by Michelangelo Antonisoni that “We live in a society that compels us to go on using the concepts, and we no longer know what they mean”. A central challenge in understanding the vital concepts of a thesis lies in the complexity of jargons. Our goal is to build an interactive Web application coupled with a chat interface to make learning or knowledge gaining easier. Thus our Web application consists of two distinct components- text mining to extract data from the corpus and secondly to present data in different dimensions using a web crawler. It features a Learning Autobot which extracts information from the corpus, constructs knowledge and reduces the complexity of jargons hence reformulating the concepts in simplified form.
机译:米开朗基罗·安东尼奥尼(Michelangelo Antonisoni)确实说过:“我们生活在一个迫使我们继续使用这些概念的社会中,我们不再知道它们的含义”。理解论文重要概念的主要挑战在于术语的复杂性。我们的目标是构建一个带有聊天界面的交互式Web应用程序,以使学习或获取知识变得更加容易。因此,我们的Web应用程序由两个截然不同的组件组成-文本挖掘以从语料库中提取数据,其次是使用Web搜寻器以不同维度呈现数据。它具有一个学习型自动机器人,可以从语料库中提取信息,构造知识并减少行话的复杂性,从而以简化的形式重新定义概念。

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