Information Extraction
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Information extraction (IE) is the task of automatically extracting structured information from unstructured data|unstructured and/or semi-structured machine-readable data|machine-readable documents. In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP). Recent activities in multimedia document processing like automatic annotation and content extraction out of images/audio/video could be seen as information extraction. Due to the difficulty of the problem, current approaches to IE focus on narrowly restricted domains. An example is the extraction from news wire reports of corporate mergers, such as denoted by the formal relation::MergerBetween(company_1, company_2, date), from an online news sentence such as: :Yesterday, New-York based Foo Inc. announced their acquisition of Bar Corp. A broad goal of IE is to allow computation to be done on the previously unstructured data. A more specific goal is to allow logical...
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Web Pages    
Named Entity    
Data Mining    
Text Mining    
Large Scale    
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