{"title":"CATAQ: Concise Answer to any Question","authors":"Arpan Ghoshal, Rohan Kamath, D. Uma","doi":"10.1109/ICSES52305.2021.9633951","DOIUrl":null,"url":null,"abstract":"In this modern age of information, the answer to any question is readily available on the internet. The chronology of the solution to open-domain question-answering capabilities is primitive manual question mining, followed by search engine revolution. Later, intelligent assistants became a robust method, which is being used for a long time. However, it has been noticed that the intelligent assistant responds to simple questions but not to the complicated ones that demand comprehension of the question's abstract. This paper introduces an innovative, dynamic technique called CATAQ, i.e., Concise Answer to Any Question that responds to complicated questions by providing accurate answers. Furthermore, CATAQ introduces a solution for dynamic information retrieval, which involves the selection of the most appropriate webpage links, based on the link parsing the content of the webpage irrespective of its structure, pre-processing the content, extracting the pertinent information with semantic search and summarizing by prioritizing question's keywords. It is observed that CAT AQ outperformed the present intelligent assistants while answering complex questions which include anunusual and large variety of topics and keeping the performance consistent while answering simple questions. Concluding, CATAQ can answer any question concisely, assuming the related information is available on the internet.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"101 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSES52305.2021.9633951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

In this modern age of information, the answer to any question is readily available on the internet. The chronology of the solution to open-domain question-answering capabilities is primitive manual question mining, followed by search engine revolution. Later, intelligent assistants became a robust method, which is being used for a long time. However, it has been noticed that the intelligent assistant responds to simple questions but not to the complicated ones that demand comprehension of the question's abstract. This paper introduces an innovative, dynamic technique called CATAQ, i.e., Concise Answer to Any Question that responds to complicated questions by providing accurate answers. Furthermore, CATAQ introduces a solution for dynamic information retrieval, which involves the selection of the most appropriate webpage links, based on the link parsing the content of the webpage irrespective of its structure, pre-processing the content, extracting the pertinent information with semantic search and summarizing by prioritizing question's keywords. It is observed that CAT AQ outperformed the present intelligent assistants while answering complex questions which include anunusual and large variety of topics and keeping the performance consistent while answering simple questions. Concluding, CATAQ can answer any question concisely, assuming the related information is available on the internet.
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CATAQ:对任何问题的简明回答
在这个现代信息时代,任何问题的答案都可以在互联网上找到。开放域问答能力的解决方案的时间顺序是原始的人工问题挖掘,然后是搜索引擎革命。后来,智能助手成为了一种鲁棒的方法,被使用了很长时间。然而,人们已经注意到,智能助手对简单的问题做出反应,而对需要理解问题抽象的复杂问题却没有反应。本文介绍了一种名为CATAQ的创新动态技术,即通过提供准确答案来响应复杂问题的简明回答。此外,CATAQ还介绍了一种动态信息检索的解决方案,即根据链接选择最合适的网页链接,对网页内容进行不考虑其结构的解析,对内容进行预处理,通过语义搜索提取相关信息,并对问题关键词进行优先级排序进行汇总。我们观察到,在回答复杂问题(包括不寻常的和各种各样的话题)和回答简单问题时保持性能一致时,CAT AQ的表现优于现有的智能助手。综上所述,CATAQ可以简洁地回答任何问题,前提是相关信息可以在互联网上找到。
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