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Book
Large-Scale Pattern-Based Information Extraction from the World Wide Web
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ISBN: 1000015694 3866444796 Year: 2010 Publisher: KIT Scientific Publishing

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Abstract

Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.


Dissertation
Master thesis : Term extraction from domain specific texts
Authors: --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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Abstract

In the thesis, we developed a novel unsupervised algorithm for terminology extraction (TE).&#13;TE consists in detecting and ranking possible terms from a given document. While a term is a sequence of words that refers to a particular concept in a given domain.&#13;This thesis also brings with it two other ancillary contributions. A new relevancy measure for term ranking; which uses a mix of a termhood, a unithood, and a noise measure to provide a reliable score. And an abbreviation extractor which discovers and extracts the extended form of abbreviated terms using a simple heuristic.&#13;Many algorithms already exist for extracting terms but they have limitations. Primarily, we found that no current method was capable of reliably extracting long and complex terminology. Therefore, the algorithm we proposed was designed to handle such task.


Periodical
Journal of librarianship and information science
Author:
ISSN: 09610006 17416477 15548430 Year: 1969 Publisher: London

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Abstract

JOLIS is a journal for librarians, information scientists, specialists, managers, educators, and students interested in keeping up to date with the most recent issues and developments in the field of librarianship and information science.

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