Digital Library

cab1

 
Title:      TOWARDS NATURAL LANGUAGE - BASED INTERFACE TO APPOINTMENT MAKING SYSTEM FOR MOBILE DEVICES
Author(s):      Jack Brzezinski , Susan Chan , Xiaowen Fang , Shuang Xu , Jean Lam , Yanzan Zhou
ISBN:      972-98947-0-1
Editors:      António Palma dos Reis and Pedro Isaías
Year:      2003
Edition:      2
Keywords:      Short messaging, SMS, natural language interface.
Type:      Short Paper
First Page:      769
Last Page:      772
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Mobile devices such as Internet enabled phones or personal digital assistants (PDAs) are becoming ubiquitous. Many of mobile devices are equipped with small displays, which make it difficult to browse web pages (Chan et al., 2002). On the other hand, mobile devices are increasingly used for sending textual messages such as emails and short messages (short messaging service or SMS). In many countries messaging from mobile devices became a way of life for younger generation. The goal of this paper is to discuss the functionality of a system that provides natural language understanding and enables students to make an appointment with a professor. We introduce some of the research problems that will be explored during system development. Users of mobile devices will be able to send an email or a short message to the system and using their own words to make an appointment with a professor at the time they specify. The system will engage in communication with the user by sending emails or short messages if there is not enough information to make an appointment. Most mobile devices have limited text input capabilities. From the natural language processing point of view the system is capable of mapping unstructured information into data structures required to make an appointment. One of the major features of the system is the capability to recognize semantics of misspelled or abbreviated words. This research is based on the study conducted by the authors to evaluate interfaces of most commonly used mobile devices for an appointment-making task.
   

Social Media Links

Search

Login