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Recently, the NLP community has shown a renewed interest in lexical semantics in the extent of automatic recognition of semantic relationships between pairs of words in text. Lexical semantics has become increasingly important in many natural language applications, this approach to semantics is concerned with psychological facts associated with meaning of words and how these words can be connected...
Structured knowledge bases are an increasingly important way for storing and retrieving information. Within such knowledge bases, an important search task is finding similar entities based on one or more example entities. We present QBEES, a novel framework for defining entity similarity based only on structural features, so-called aspects, of the entities, that naturally model potential interest...
The study of traditional text filtering with keywords retrieval ignores the semantic relations between keywords, and it results in the bottleneck of the further development of text filtering. To solve this problem, three steps are adopted. Firstly, concept lattice theory should be introduced into traditional text filtering, the formal context is employed to organize filtering text and domain feature...
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