Dependency Graph Based Detection of Semantically Equivalent Questions in Online Forums

Parmeet Kaur and Shrutika Gulati
Additional contact information
Parmeet Kaur: Jaypee Institute of Information Technology, Noida, India
Shrutika Gulati: Jaypee Institute of Information Technology, Noida, India

International Journal of Information Retrieval Research (IJIRR), 2019, vol. 9, issue 1, 50-64

Abstract: In the present, people increasingly rely on online user forums for clearing their doubts and seeking answers to varied questions. On many online forums, users encounter a similar question asked in different formats. This results in confusion for the user and he may not be able to find appropriate answer to his question even though the appropriate answer exists on some other page, i.e., on the page resultant of a differently formed question. Currently, online forums like Quora only give suggestions to the user about the questions he could ask but do not show all the semantically equivalent questions. This article eases the work of the users searching for answers on online user forums. The proposed technique will allow the users to look at all the existing semantically equivalent questions. A dependency graph-based matching algorithm is applied to accomplish this objective.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJIRR.2019010104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:9:y:2019:i:1:p:50-64

Access Statistics for this article

International Journal of Information Retrieval Research (IJIRR) is currently edited by Zhongyu Lu

More articles in International Journal of Information Retrieval Research (IJIRR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().