question-answering

Then semantic roles of sentences are used in answer extraction of the question answering system, and it improves the system's accuracy.

And, to give your second question answering, the hills are being quite some far ways, but your sight is deceiving you to make them close.

This paper introduces the current research status and the methods that are often used in Question-Answering.

Compared to traditional search engines, Automatic Question Answering System is theoretically better to meet the needs of the user's search.

Firstly, it introduces the conceptual theory and parts of intelligent question-answering system in detail.

Adding semantic information to question answering system is an inevitable trend for researching.

Experimental results showed that the assorted method achieved good results, and the performance of question answering system was improved.

But, these features are very difficult to improve the accuracy of the question answering system now.

Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.

in general , a question - answering system is made up of three parts : question analysis , information retrieval and answer extraction.

Answer extraction is the key technology of the automatic question answering system.

reviewing, question-answering and self-testing are assisted by the network after class.

A model of question answering system is put forward based on ontology. The building of the domain is introduced.

The question-answering system based on the traditional vector space model needs more time expense as its vector dimension turns greater.

A segmentation algorithm without dictionary based on network-oriented natural language question answering system is proposed.

and tracking are also important in the field of information extraction, automatic question answering and machine translation.

Question answering system is composed of three parts which is question analysis, information retrieval and answer extraction.

Introduces a design for subsystem of automatic question answering in the CAI teaching system.

By these years, Chinese Information Processing Technology promotes the Chinese Question Answering System.

This thesis aims to research how to use the semantic information of domain ontology to improve the performance of Question Answering System.

An open-domain Chinese question-answering system is presented in this paper.

That is why most systems only use words, part of speech and syntactic relations in question answering system.

question answering; question classification; support vector machines; subset tree kernel; machine learning; natural language processing;

Research on question similarity algorithm for intelligent question answering system and its implementation

Study of Search Technology in Intelligent Question Answering System

Study of Network- Based Intelligent Question Answering System

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Design and realization of intelligent question-answering system supporting natural language

Multiple Search - Engine Question - Answering System With Frequently- Asked Question

Study of Question Analysis in Question-Answering System

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A Question Answering System in Natural Language About Shanghai Traffic Route

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Periodical on-spot policy consulting, office work and question answering at our clients'office;

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Automatic question answering system based on weighted semantic similarity model

Answer Extracting for Chinese Question-Answering System Based on Latent Semantic Analysis

A Web-based Chinese Open-domain Question Answering System

Advances in Open Domain Question Answering

The Design for Question Answering Subsystem in the CAI System

A Study on a Bank-Domain Automatic Chinese Question-Answering System BAQS

Question-answering System Research Based on Multistage Retrieval

Algorithm and System Realization of Nature Language Question Answering System Based on Content-phasing

Question answering system in network education based on ontology and transfer network

On Designing the on-line Question-answering System

Japanese Question Answering Patterns in the View of Exposition Mode Theory

Design and Implementation of Voice Question Answering and Discussing System Based on JMF

Research of intelligent question answering model based on ontology;

Question answering system based on frequently asked questions

Design Repository of Intelligent Question Answering System Based on XML

Automatic Question-answering System Based on FAQ Technology for Net-schools

Intelligent Question Answering System Based on Data Mining

A question answering system based on question pattern match

An approach to extract answer in question answering based on FCA