IEICE TRANSACTIONS on Information
Question Answering for the Operation of Software Applications: A Document Retrieval Approach
Summary :
Reflecting the rapid growth of information technology, the configuration of software applications such as word processors and spreadsheets 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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.6 pp.1369-1377
- Publication Date
- 2010/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.1369
- Type of Manuscript
- Special Section PAPER (Special Section on Info-Plosion)
- Category
- Natural Language Processing
Authors
Keyword
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Atsushi FUJII, Seiji TAKEGATA, "Question Answering for the Operation of Software Applications: A Document Retrieval Approach" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 6, pp. 1369-1377, June 2010, doi: 10.1587/transinf.E93.D.1369.
Abstract: Reflecting the rapid growth of information technology, the configuration of software applications such as word processors and spreadsheets 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1369/_p
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@ARTICLE{e93-d_6_1369,
author={Atsushi FUJII, Seiji TAKEGATA, },
journal={IEICE TRANSACTIONS on Information},
title={Question Answering for the Operation of Software Applications: A Document Retrieval Approach},
year={2010},
volume={E93-D},
number={6},
pages={1369-1377},
abstract={Reflecting the rapid growth of information technology, the configuration of software applications such as word processors and spreadsheets 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.},
keywords={},
doi={10.1587/transinf.E93.D.1369},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - Question Answering for the Operation of Software Applications: A Document Retrieval Approach
T2 - IEICE TRANSACTIONS on Information
SP - 1369
EP - 1377
AU - Atsushi FUJII
AU - Seiji TAKEGATA
PY - 2010
DO - 10.1587/transinf.E93.D.1369
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2010
AB - Reflecting the rapid growth of information technology, the configuration of software applications such as word processors and spreadsheets 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.
ER -
English
