A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains

Harksoo KIM; Choong-Nyoung SEON; Jungyun SEO

doi:10.1093/ietisy/e88-d.5.801

A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains

Harksoo KIM, Choong-Nyoung SEON, Jungyun SEO

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Most of commercial websites provide customers with menu-driven navigation and keyword search. However, these inconvenient interfaces increase the number of mouse clicks and decrease customers' interest in surfing the websites. To resolve the problem, we propose an information retrieval assistant using a natural language interface in online sales domains. The information retrieval assistant has a client-server structure; a system connector and a NLP (natural language processing) server. The NLP server performs a linguistic analysis of users' queries with the help of coordinated NLP agents that are based on shallow NLP techniques. After receiving the results of the linguistic analysis from the NLP server, the system connector interacts with outer information provision systems such as conventional information retrieval systems and relational database management systems according to the analysis results. Owing to the client-server structure, we can easily add other information provision systems to the information retrieval assistant with trivial modifications of the NLP server. In addition, the information retrieval assistant guarantees fast responses because it uses shallow NLP techniques. In the preliminary experiment, as compared to the menu-driven system, we found that the information retrieval assistant could reduce the bothersome tasks such as menu selecting and mouse clicking because it provides a convenient natural language interface.

Publication: IEICE TRANSACTIONS on Information Vol.E88-D No.5 pp.801-808

Publication Date: 2005/05/01

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DOI: 10.1093/ietisy/e88-d.5.801

Type of Manuscript: Special Section PAPER (Special Section on Cyberworlds)

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Harksoo KIM, Choong-Nyoung SEON, Jungyun SEO, "A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains" in IEICE TRANSACTIONS on Information, vol. E88-D, no. 5, pp. 801-808, May 2005, doi: 10.1093/ietisy/e88-d.5.801.
Abstract: Most of commercial websites provide customers with menu-driven navigation and keyword search. However, these inconvenient interfaces increase the number of mouse clicks and decrease customers' interest in surfing the websites. To resolve the problem, we propose an information retrieval assistant using a natural language interface in online sales domains. The information retrieval assistant has a client-server structure; a system connector and a NLP (natural language processing) server. The NLP server performs a linguistic analysis of users' queries with the help of coordinated NLP agents that are based on shallow NLP techniques. After receiving the results of the linguistic analysis from the NLP server, the system connector interacts with outer information provision systems such as conventional information retrieval systems and relational database management systems according to the analysis results. Owing to the client-server structure, we can easily add other information provision systems to the information retrieval assistant with trivial modifications of the NLP server. In addition, the information retrieval assistant guarantees fast responses because it uses shallow NLP techniques. In the preliminary experiment, as compared to the menu-driven system, we found that the information retrieval assistant could reduce the bothersome tasks such as menu selecting and mouse clicking because it provides a convenient natural language interface.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.5.801/_p

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@ARTICLE{e88-d_5_801,
author={Harksoo KIM, Choong-Nyoung SEON, Jungyun SEO, },
journal={IEICE TRANSACTIONS on Information},
title={A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains},
year={2005},
volume={E88-D},
number={5},
pages={801-808},
abstract={Most of commercial websites provide customers with menu-driven navigation and keyword search. However, these inconvenient interfaces increase the number of mouse clicks and decrease customers' interest in surfing the websites. To resolve the problem, we propose an information retrieval assistant using a natural language interface in online sales domains. The information retrieval assistant has a client-server structure; a system connector and a NLP (natural language processing) server. The NLP server performs a linguistic analysis of users' queries with the help of coordinated NLP agents that are based on shallow NLP techniques. After receiving the results of the linguistic analysis from the NLP server, the system connector interacts with outer information provision systems such as conventional information retrieval systems and relational database management systems according to the analysis results. Owing to the client-server structure, we can easily add other information provision systems to the information retrieval assistant with trivial modifications of the NLP server. In addition, the information retrieval assistant guarantees fast responses because it uses shallow NLP techniques. In the preliminary experiment, as compared to the menu-driven system, we found that the information retrieval assistant could reduce the bothersome tasks such as menu selecting and mouse clicking because it provides a convenient natural language interface.},
keywords={},
doi={10.1093/ietisy/e88-d.5.801},
ISSN={},
month={May},}

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TY - JOUR
TI - A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains
T2 - IEICE TRANSACTIONS on Information
SP - 801
EP - 808
AU - Harksoo KIM
AU - Choong-Nyoung SEON
AU - Jungyun SEO
PY - 2005
DO - 10.1093/ietisy/e88-d.5.801
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2005
AB - Most of commercial websites provide customers with menu-driven navigation and keyword search. However, these inconvenient interfaces increase the number of mouse clicks and decrease customers' interest in surfing the websites. To resolve the problem, we propose an information retrieval assistant using a natural language interface in online sales domains. The information retrieval assistant has a client-server structure; a system connector and a NLP (natural language processing) server. The NLP server performs a linguistic analysis of users' queries with the help of coordinated NLP agents that are based on shallow NLP techniques. After receiving the results of the linguistic analysis from the NLP server, the system connector interacts with outer information provision systems such as conventional information retrieval systems and relational database management systems according to the analysis results. Owing to the client-server structure, we can easily add other information provision systems to the information retrieval assistant with trivial modifications of the NLP server. In addition, the information retrieval assistant guarantees fast responses because it uses shallow NLP techniques. In the preliminary experiment, as compared to the menu-driven system, we found that the information retrieval assistant could reduce the bothersome tasks such as menu selecting and mouse clicking because it provides a convenient natural language interface.
ER -