Call For Paper Volume:4 Issue:10 Oct'2017 |

An efficient method for Multimedia Answer Generation for complex queries by Harvesting Web Information

Publication Date : 18/06/2015



Author(s) :

Manoba J P R , Prathibha S Nair.


Volume/Issue :
Volume 2
,
Issue 6
(06 - 2015)



Abstract :

QA(Question Answering) has emerged as an alternative method for retrieving information online. The information seekers can able to post their questions on any topic. The seekers obtain textual answers for their questions. This paper explains about MMQA, by which the users are able to get better answers including multimedia contents. The existing QA forums mostly support only textual answers or the URLs. But sometimes the textual answers may not provide sufficient information and it may be difficult to grasp the textual information. So, MMQA is a scheme that is able to enrich textual answers in cQA with appropriate media data which is more informative for users. But it fails to generate proper results for the complex large questions. Document Summarisation is the technique which is for summarising the large complex questions, from that it can generate appropriate multimedia answers based on the questions


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An efficient method for Multimedia Answer Generation for complex queries by Harvesting Web Information

June 18, 2015