Title: AnswerSeeker:Question Answering System Based on Web Mining
Abstract: This paper describes the AnswerSeeker question answering engine,a modular and extensible framework that allows integrating multiple approaches to question answering in one system.It supports the two major approaches to question answering,knowledge annotation and knowledge mining.In addition,it proposes one novel approach to question interpretation which abstracts from the original formulation of the question. Text patterns are used to interpret a question and to extract answers from text snippets.Our system automatically learns the patterns for answer extraction,using question-answer pairs as training data. Experimental results reveal the potential of AnswerSeeker.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot