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It is critical to think of creating electronic medical record (EMR) templates for general utilization of EMR due to semi-structured features. Word processor is widely used for recording patient electronic information. However, the most weakness of these editors is that it is hard to extract medical data from text document. Also it is less flexible to present data in some other forms. This paper provides...
Feature selection is a process which chooses a subset from the original feature set according to some rules. The selected feature retains original physical meaning and provides a better understanding for the data and learning process. However, few modern feature selection approaches take the advantage of features' context information. Based on this analysis, we propose a novel feature selection method...
Similar text positioning is a key step in plagiarism detection to decide the position of similar texts in the documents. A 2-step approximate merging method is proposed as follows: Heuristic approximate merging is used for error reduction in processing the text sampling fingers; Clustering methods is used to reduce the disturbance information influence on text positioning when merging the adjacent...
General purpose search engines utilize a very simple view on text documents: They consider them as bags of words. It results that after indexing, the semantics of documents is lost. In this paper, we introduce a novel approach to improve the accuracy of Web retrieval. We utilize the WordNet and WordNet SenseRelate All Words Software as main tools to preserve the semantics of the sentences of documents...
Tacit knowledge in requirements documents can lead to miscommunication between software engineers and other stakeholders. One way in which the presence of tacit knowledge is signalled in text is by linguistic presuppositions. In this paper, we present a brief introduction to tacit knowledge, presuppositions and the links between them. Our aim is to build a theoretically grounded system which is able...
Local grammar approach relies on constructing polylexical units having frozen characteristics. It has recently been shown to be superior to other named entity extraction approaches including the probabilistic, the symbolic, and the hybrid approach in terms of being able to work with untagged corpora and has successfully been applied to English, Portuguese, Korean, French and Chinese texts. In this...
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