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Based on the analysis of the characterizing of the emergency knowledge, an automatic constructing of semantic lexicon in emergency domain is proposed. In this paper, five dimensions are designed to represent the words of the emergency domain and an automatic construction system of semantic lexicon is provided. Based on the semantic dimension designed above, Self Organizing Map is applied to unsupervised...
Style-based text authorship identification extracts features from authorship-known texts, constructs classifier and then identifies disputed texts. Authorship identification belongs to the domain of style classification and is a branch of text classification. In contrast with text classification which deals with the content of texts, authorship identification focuses on the form property of texts...
Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of Word...
This paper brings up an important issue, the polysemy problems, in a Chinese to Taiwanese TTS system. Polysemy means there are words with more than one meaning or pronunciation, such as “????”(we), “??”(no), “??”(you), “??”(I), “??”(want), and so on. We focus on the Chinese word “????” (we) to show how imperative the polysemy problem in a Chinese to Taiwanese TTS system is. There are two pronunciations...
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