Automatic Extraction of Spatio-Temporal Information from Arabic Text Documents
نویسندگان
چکیده
منابع مشابه
Lexical Acquisition for Information Extraction from Arabic Text Documents
The objective of this work is to design a lexicon suitable for information extraction from Arabic texts, and to acquire this lexicon automatically for specific domain from set of electronic documents. To achieve this goal we have to find a way to represent the document as well as the domain knowledge, extract the document and domain knowledge, then design a lexicon suitable for IE tasks, and fi...
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Effective analysis of structured documents may decide on management information systems performance. In the paper, an adaptive method of information extraction from structured text documents is considered. We assume that documents belong to thematic groups and that required set of information may be determined ”apriori”. The knowledge of document structure allows to indicate blocks, where certa...
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Temporal information in the document is a demanding dimension to be discovered. Recently, many works from board research areas such as database, information retrieval, text mining pay attention to a temporal aspect. In this paper, we give a survey of state-of-art in extracting temporal information from document collections. As it is quite a new discipline, there is no standard comparison scheme...
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In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that may be considered keywords. In the second phase, the N-grams are analyzed using a morphological analyzer to replace the words of the N-grams with their base forms that are the roots for ...
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The aim of this paper is to analyze what kinds of temporal information can be found in different types of legal documents. In particular, it provides a comparison of different legal document types (case law, statute or transactional document) and how one can do further reasoning with the extracted temporal information.
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ژورنال
عنوان ژورنال: International Journal of Computer Science and Information Technology
سال: 2015
ISSN: 0975-4660,0975-3826
DOI: 10.5121/ijcsit.2015.7507