Hironori Oka

An Identification Method of Inquiry E-mails to the Matching FAQ for Automatic Question Answering

This paper discusses how to match the inquiry e-mails to pre-defined FAQs(Frequently Asked Questions). Web-based interaction such as order and registration form on a Web page is usually provided with its FAQ page for helping a user, however, most users submit their inquiry e-mails without checking such a page. This causes a help desk operator to process lots of e-mails even if some contents correspond to FAQs. Automatic matching of inquiry e-mails to pre-described FAQs is proposed based on SVM(Support Vector Machine) and specific Jaccard coefficient. Some experimental results show its effectiveness. We also discuss future work to improve our method.

A robust scheduling method for a job shop problem in production by using data carriers

A real production schedule requires efficient and robust solution against environmental changes in a production site. In this paper a framework of a robust scheduling method for a job-shop scheduling problem including probability of environmental changes is proposed for production by using data carriers. The proposed method searches the set of an initial schedule and modified ones against environmental changes, which has the best expected evaluation value of productive efficiency (= /spl Sigma/(the probability of the change) /spl times/ (the evaluation value)) as a solution. In order to express jillion modified schedules simply, adjustment rules are introduced, and a robust schedule is described by an initial schedule and pairs of an environmental change map and an adjustment rule. The framework of creating the robust schedule is proposed.

A Help Desk Support System Based on Relationship between Inquiries and Responses

We propose a help desk support system to extract FAQ (Frequently Asked Questions) automatically, to retrieve FAQ for inquiry e-mails, and to show FAQ in users’ inputting their inquiry e-mail. In the help desk, operators record inquiry e-mails and response e-mails. Between inquiries and response, there are relationship that similar words are often used. First, we propose a classification method of inquiry e-mails for describing FAQ with pairs of inquiries and responses. Second, we propose a detection method of the FAQ matching inquiry e-mail based on Jaccard coefficient between inquiries and responses. Finally, we propose a predictive search method of FAQ by matching an incomplete inquiry to FAQ.

An autonomous distributed information system for logistics control with data carriers

In logistics fields, in order to satisfy various customers requirement, flexible transportation and inventory control method are desired. By attaching data carrier of wireless communication to items in logistics, the autonomous distributed information system for logistics control are proposed. This system can manage the flow of the items efficiently and dynamically. Additionally structure of logistics companies in the logistics is flexible and distributed company make their decisions autonomously. In this paper, concept of the system is proposed, and outline of target logistics model is defined. Configuration and necessary feature are extracted, and issues and future works are mentioned.

A detection method of FAQ matching inquiry e-mails by automatic generation of characteristic word groups on past inquiry e-mails

This paper discusses how to detect the inquiry e-mails corresponding to pre-defined FAQs(Frequently Asked Questions). Web-based interaction such as orders and registration form on a web page is usually provided with its FAQ page for helping a user, however, most users submit their inquiry e-mails without checking such pages. Help desk operators must spend lots of time on replying to process lots of e-mails even if some contents match to FAQs, we propose the automatic detection method of such e-mails based on SVM (Support Vector Machine) and specific Jaccard coefficient with positive and negative instances. Experimental results show that the proposed method can improve the recall rate to 50% and the precision rate to 91%.

A generation method of table-style data from Web retrieval results based on a user's instantiated example

Recently, since the growth of the Internet, World Wide Web has become significant infrastructure in various fields such as business, commerce, education and so on. Accordingly, a user has gathered information by using the Internet. However due to increasing Web pages, it becomes difficult for a user to collect desirable information. Advanced Web search engines may provide solution to some extent, it is still up to a user to summarize or extract meaningful information from such retrieval results. Based on this viewpoints, this paper addresses a generation method of table-style data from heterogeneous Web pages that reflects a users intention. To achieve it, the method utilize a users instantiated example in a table in addition to column labels as the table. We apply this method to travel tour pages and discuss future work.

Information Extraction from Heterogeneous Web Sites Using Clue Complement Process Based on a User’s Instantiated Example

Since the growth of the Internet,World Wide Web has become significant infrastructure in various fields such as business, commerce, education and so on. Accordingly, a user has gathered information by using the Internet. However due to increasing Web pages, it becomes difficult for a user to collect desirable information. Advanced Web search engines may provide solution to some extent, it is still up to a user to summarize or extract meaningful information from such retrieval results. Based on this viewpoints, this paper addresses a generation method of table-style data from heterogeneous Web pages that reflects a user’s intention. To achieve it, the method utilize a user’s instantiated example in a table in addition to column labels as the table. Based on a user’s instantiated example, meaningful information are extracted using pattern matching and N-gram method. We apply this method to 57 pages with 27 travel agencies whether the proposed method is effective or not. As the result, 88% was precision rate and 68% was recall rate.

Information Extraction from Heterogenous Web Sites Using Additional Search of Related Contents Based on a User's Instantiated Example

Recently, since the growth of the Internet, WorldWide Web has become significant infrastructure in various fields such as business, commerce, education and so on. Accordingly, a user has gathered information by using the Internet. However due to the flood of Web pages, it becomes difficult for a user to collect desirable information. Advanced Web search engines may provide solution to some extent, it is still up to a user to summarize or extract meaningful information from such retrieval results. Based on this viewpoints, we addressed a generation method of table-style data from heterogeneous Webpages that reflects a user’s intention. However if original pages have less information, our system may not extract sufficient information. To improve this problem, we address a method that searches related page contents automatically.We apply this method to shopping sites and the experimental result shows it improves recall rate.

A negotiation method using improvement knowledge for bilateral exchange and distribution negotiation

A bilateral exchange and distribution negotiation problem is a problem that two persons who have interdependent goals try to get a solution which satisfy any constraints by exchanging alternative resources in order to distribute the resources for more profits. It is difficult to solve this problem because it is not desirable to inform the negotiators constraints to the opponent. This paper proposes the negotiation method that each negotiator improves the opponents plan with knowledge, and sends it back to the opponent in order to find an agreement plan automatically.

A bilateral negotiation method using satisfying level with knowledge of purpose analysis

A bilateral exchange and distribution negotiation problem is a problem that two persons who have interdependent goals try to get a solution which satisfies any constraints by exchanging alternative resources in order to distribute the resources to get more profit. It is difficult to solve this problem because it is not desirable to inform the negotiators constraints to the opponent. The paper proposes extension of the negotiation method using the improving knowledge for considering the negotiators satisfying level for the agreement plan by introducing the hierarchized conditions expressing the negotiators ideal about an agreement plan.