Designing an Information Extraction System for Amharic Vacancy Announcement Text
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Date
2011-06
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Addis Ababa University
Abstract
The number of Amharic documents on the Web is increasing as many newspaper publishers started providing their services electronically. The unavailability of tools for extracting and exploiting the valuable information from Amharic text, which is effective enough to satisfy the users has been a major problem and manually extracting information from a large amount of unstructured text is a very tiresome and time consuming job, this was the main reason which motivate the researcher to engage in this research work. The overall objective of the research was to develop information extraction system for the Amharic vacancy announcement text. The system was developed by using Python and visual basic programming language and rule-based technique was applied to address the problem of automatically deciding the correct candidate texts based on its surrounding context words. 116 Amharic vacancy announcement texts which contain 10,766 words were collected from the ―Ethiopian reporter‖ newspaper published in Amharic twice in week. For this study, nine candidate texts are selected from Amharic vacancy announcement text, these are organization, position, qualification, experience, salary, number of people required, work agreement, deadline and phone number. The experiments have been carried out on each component of a system separately to evaluate its performance on each components, this helps us to identify drawbacks and give some clue for future works.
The experimental result shows, an overall F - measure of 71.7% achieved. In order to make the system to be applicable in this domain which is Amharic vacancy announcement, further study is required like incorporating additional rules, improving the speed of the system by modifying the algorithm, a well designed user interface and integrating other NLP facilities.
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Designing an Information Extraction System