A Rule-based Information Extraction System

Abstract

Designing intelligent expert systems capable of answering different human queries is a challenging and emerging area of research. A huge amount of web data is available online and majority of which are in the form of unstructured documents covering articles, online news, corporate reports, medical records, social media communication data, etc. A user in need of certain information has to assess all the relevant documents to obtain the exact answer of their queries which is a time consuming and tedious work. Also, sometimes it becomes quite difficult to obtain the exact information from a list of documents quickly as and when required unless the whole document is read. This paper presents a rule-based information extraction system for unstructured web data that access the document contents quickly and provides the relevant answers to the user queries in a structured format. A number of tests were conducted to determine the overall performance of the proposed model and the results obtained in all the experiments performed shows the effectiveness of the model in providing required answers to different user queries quickly.

Information extraction model from Ge’ez texts

“…From recent literature, there has been little research on information extraction systems in Ethiopian and foreign languages [3], [7], [8], [10]. Because of its grammatical nuances, syntactic structure, lexical structure, writing system, morphological structure, and encoding style, existing approaches created for other languages are difficult to apply directly to the Ge'ez language [21].…”

“…An essential part of such information, including government documents, court cases, online and news reports, and social media conversation, is broadcasted in the unstructured form [5]. Voluminous and unstructured textual data is found on the internet that could provide varied valuable information for different institutions such as health care, business-related, training, religion, culture, and history, among others [6], [7].…”

Information Extraction Berbasis Rule Untuk Soal Ujian

“…IE berbasis rule [4], [5] menggunakan satu set atau beberapa aturan dalam proses pengambilan informasi. Proses penentuan aturan ini denngan memperhatikan bagaimana kondisi dalam dokumen, terutama ciri-ciri yang terdapat dalam teks yang menjadi tujuan utama dalam pengambilan informasi.…”

A Novel Approach: Tokenization Framework based on Sentence Structure in Indonesian Language

“…The standard approach is single-word tokenization, in which the input string is split word by word using spaces as separators [9]. Most NLP research uses this kind of tokenization technique, such as by [10] in semantic similarity, [4] [9] in text classification, [11], [12] in information retrieval, [13], [14] in clustering, [15]- [17] in sentiment analysis, and much more.…”