Traditional clustering algorithms do not consider the semantic relationships among words so
that cannot accurately represent the meaning of documents. To overcome this problem …

The continually develo** Internet generates a considerable amount of text data. When
attempting to extract general topics or themes from a massive corpus of documents, dealing …

As a valuable tool for text understanding, semantic similarity measurement enables
discriminative semantic-based applications in the fields of natural language processing …

The rapid progress of information technology and web makes it easier to store huge amount
of collected textual information, eg, blogs, news articles, e-mail messages, reviews and …