Paper Info
Title
Question Answering For The Operation Of Software Applications: A Document Retrieval Approach
Abstract
Reflecting the rapid growth of information technology, the configuration of software applications such as word processors and spread-sheets is both sophisticated and complicated. It is often difficult for users to identify relevant functions in the online manual for a target application. In this paper, we propose a method for question answering that finds functions related to the user's request. To enhance our method, we addressed two "mismatch" problems. The first problem is associated with a mismatch in vocabulary, where the same concept is represented by different words in the manual and in the user's question. The second problem is associated with a mismatch in function. Although the user may have a hypothetical function for a purpose in mind, this purpose can sometimes be accomplished by other functions. To resolve these mismatch problems, we extract terms related to software functions from the Web, so that the user's question can be matched to the relevant function with high accuracy. We demonstrate the effectiveness of our method experimentally.
Year
DOI
Venue
2010
10.1587/transinf.E93.D.1369
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
question answering, software applications, information retrieval, mismatch problems, expansion methods
Question answering,Information retrieval,Pattern recognition,Information technology,Computer science,Software,Artificial intelligence,Document retrieval,User interface,Vocabulary
Journal
Volume
Issue
ISSN
E93D
6
1745-1361
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Atsushi Fujii148659.25
Seiji Takegata201.01