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Text Nailing (TN) is an information extrac … Text Nailing (TN) is an information extraction method of semi-automatically extracting structured information from unstructured documents. The method allows a human to interactively review small blobs of text out of a large collection of documents, to identify potentially informative expressions. The identified expressions can be used then to enhance computational methods that rely on text (e.g., Regular expression) as well as advanced natural language processing (NLP) techniques. TN combines two concepts: 1) human-interaction with narrative text to identify highly prevalent non-negated expressions, and 2) conversion of all expressions and notes into non-negated alphabetical-only representations to create homogeneous representations. In traditional machine learning approaches for text classification, a human expert is required to label phrases or entire notes, and then a supervised learning algorithm attempts to generalize the associations and apply them to new data. In contrast, using non-negated distinct expressions eliminates the need for an additional computational method to achieve generalizability.tional method to achieve generalizability.
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Text Nailing (TN) is an information extrac … Text Nailing (TN) is an information extraction method of semi-automatically extracting structured information from unstructured documents. The method allows a human to interactively review small blobs of text out of a large collection of documents, to identify potentially informative expressions. The identified expressions can be used then to enhance computational methods that rely on text (e.g., Regular expression) as well as advanced natural language processing (NLP) techniques. TN combines two concepts: 1) human-interaction with narrative text to identify highly prevalent non-negated expressions, and 2) conversion of all expressions and notes into non-negated alphabetical-only representations to create homogeneous representations.ons to create homogeneous representations.
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Text nailing
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