| Information Extraction |
Article Index for Information |
Website Links For Information |
Information AboutInformation Extraction |
| CATEGORIES ABOUT INFORMATION EXTRACTION | |
| natural language processing | |
| artificial intelligence | |
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The significance of IE is determined by the growing amount of information available in unstructured (i.e. without Metadata ) form, for instance on the Internet. This knowledge can be made more accessible by means of transformation into Relational Form , or by marking-up with XML tags. An intelligent agent monitoring a news data feed requires IE to transform unstructured data into something that can be reasoned with. A typical application of IE is to scan a set of documents written in a Natural Language and populate a database with the information extracted. Current approaches to IE use Natural Language Processing techniques that focus on very restricted domains. For example, the '' Message Understanding Conference '' (MUC) is a competition-based conference that focused on the following domains in the past:
Natural Language texts may need to use some form of a Text Simplification to create a more easily machine readable text to extract the sentences. Typical subtasks of IE are:
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