Question answering system: A heuristic approach

Varsha Bhoir, M. Potey
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引用次数: 14

Abstract

The exponential growth in digital information led to the need of increasingly sophisticated search tools like the web search engines. Search engines return ranked list of documents and are less effective when users need precise answers to natural language questions. Question Answering systems involve this critical capability required for the next generation web search engines, to reduce the painstaking search through the long list of documents. The proposed solution of Question Answering system works for a specific domain of tourism which is a global and routine activity for leisure. The users have to struggle to navigate through these overloaded sites for a short piece of information of their interest. The crawler developed in the system gathers web page information which is processed using Natural Language Processing and Procedure programming for a specific keyword. The system returns precise short string answers or list to natural language questions related to tourism domain like distance, person, date, list of hotels, list of forts, etc.
问答系统:一种启发式方法
数字信息的指数级增长导致对网络搜索引擎等越来越复杂的搜索工具的需求。搜索引擎返回文档排序列表,当用户需要自然语言问题的精确答案时,搜索引擎的效率较低。问答系统包含了下一代网络搜索引擎所需要的关键功能,以减少通过长列表文档的艰苦搜索。提出的问答系统解决方案适用于旅游这一全球性的日常休闲活动的特定领域。用户必须努力在这些超载的网站中导航,寻找他们感兴趣的一小段信息。系统中开发的爬虫收集网页信息,采用自然语言处理和程序编程对特定关键词进行处理。对于与旅游领域相关的自然语言问题,如距离、人物、日期、酒店列表、堡垒列表等,系统会返回精确的短字符串答案或列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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