基于领域和智能的多媒体问答系统

K. Kumar, P. Valarmathie
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引用次数: 4

摘要

多媒体问答系统在过去几年中变得非常流行。它允许用户通过回答给定的问题来分享他们的想法,或者从一组已回答的问题中获取信息。然而,现有的QA系统只支持文本回答,这对许多用户来说不是很有指导意义。通过添加适当的多媒体数据,可以增强用户的讨论。多媒体回答提供直观的信息,更适合图像、声音和视频。该系统包括信息集、问答分类、查询生成、多媒体数据的选择和呈现。该系统将采集文本、图像、视频、视频等各种媒体,并将其与文本答案相结合。在某种程度上,它会自动从用户那里收集信息来即兴回答。这种方法包括对答案进行排序,以选择最佳答案。多媒体问答方法通过处理大量的问答对,并将问答对添加到数据库中,为用户提供了一种通过将问答对与数据库中的问答对进行匹配来找到多媒体答案的方法。多媒体系统的有效性取决于用户回答中文本、图像、音频和视频的排序。通过语义匹配算法对用户给出的答案进行处理,并采用朴素贝叶斯排序系统对最佳答案进行排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domain And Intelligence Based Multimedia Question Answering System
Multimedia question answering systems have become very popular over the past few years. It allows users to share their thoughts by answering given question or obtain information from a set of answered questions. However, existing QA systems support only textual answer which is not so instructive for many users. The user’s discussion can be enhanced by adding suitable multimedia data. Multimedia answers offer intuitive information with more suitable image, voice and video. This system includes a set of information as well as classification of question and answer, query generation, multimedia data selection and presentation. This system will take all kinds of media such as text, images, videos, and videos which will be combined with a textual answer. In a way, it automatically collects information from the user to improvising the answer. This method consists of ranking for answers to select the best answer. By dealing out a huge set of QA pairs and adding them to a Database, multimedia question answering approach for users which finds multimedia answers by matching their questions with those in the Database. The effectiveness of Multimedia system is determined by ranking of text, image, audio and video in users answer. The answer which is given by the user it’s processed by Semantic match algorithm and the best answers can be viewed by Naive Bayesian ranking system.
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