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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Improved Data Driven technique with Answer Selection
Authors Name: Snehal Ukhale , Ruhi Sodani
Unique Id: IJSDR1808029
Published In: Volume 3 Issue 8, August-2018
Abstract: Similar queries from historical archives have been used to answer questions with good theoretical foundations and good practical accomplishments. However, each question in the pool of respondents is often related to several answers, and therefore the user needs to look thoroughly before finding the correct answer. To alleviate the problem, we offer new projects to rank candidates who respond via a double comparison. In particular, it consists of an offline learning component and an online search component. In the offline learning component, we will automatically and automatically generate positive and negative training examples in terms of priority pairs introduced by our data-driven observations. We will then present a new model to include all three training examples. The closed form of this form is derived. In the online search component, we collect the answers to the questions listed by finding similar questions. Then we will sort the candidate answers by upgrading the offline model to the reference order. Extensive tests on the vertical and horizontal community questionnaire have demonstrated durability and compelling performance. We have also published code and information to help other researchers
Keywords: Community-based Question Answering, Answer Selection, Observation-guided Training Set Construction
Cite Article: "Improved Data Driven technique with Answer Selection", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 8, page no.180 - 185, August-2018, Available :http://www.ijsdr.org/papers/IJSDR1808029.pdf
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Publication Details: Published Paper ID: IJSDR1808029
Registration ID:180590
Published In: Volume 3 Issue 8, August-2018
DOI (Digital Object Identifier):
Page No: 180 - 185
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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