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Many natural language processing tasks, such as text classification, text clustering, text summarization, and information retrieval etc., cannot miss the step-relevance measure of inter-sentence. However, many of the current NLP system always calculate not the inter-sentence relevance but their similarity. In fact, similarity means differently from relevance. The similarity measure can be acquired...
In Modern Chinese Standard dictionary, adjectival modification is represented as a set of synonyms or antonyms which are tagged by attributes. Through a method based on rough pattern, we can extract automatically these widely-accepted attributes from its machine readable dictionary. This work provides a new method to construct a common attribute database for NLP in Chinese.
In this paper, we exploit a Chinese machine-readable dictionary to extract the conceptual knowledge, i.e. the <attribute, value> pairs involving in hypernym, (artificiality) material, (artificiality) function and (medicine) usage from the corresponding definitions of nominal entries. Our method focuses on (1) constructing the extraction patterns and (2) the statistical decision for applying...
In this paper, we present a hierarchical conceptual graph formalism to describe the meaning of document content in a specified domain. This formalism can be considered as an extension of the Sowa formalism of conceptual graphs, in which concept vertices are extended to be a recursive structure. Based on this hierarchical framework, we index the documents and queries into such graphs, and propose a...
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