Query Answering Approach Based on Document Summarization

Abstract

The growing of online information obliged the availability of a thorough research in the domain of automatic text summarization within the Natural Language Processing (NLP) community.The aim of this paper is to propose a novel approach for a language independent automatic summarization approach that combines three main approaches. The Rhetorical Structure Theory (RST), the query processing approach, and the Network Representationapproach (NRA). RST, as a theory of major aspect for the structure of natural text, is used to extract the semantic relation behind the text.Query processing approachclassifies the question type and finds the answer in a way that suits the user's needs. The NRA is used to create a graph representing the extracted semantic relation. The output is an answer, which not only responses to the question, but also gives the user an opportunity to find additional information that is related to the question.We implemented the proposed approach. As a case study, the implemented approachis applied on Arabic text in the agriculture field. The implemented approach succeeded in summarizing extension documents according to user's query. The approach results have been evaluated using Recall, Precision and F-score measures.