Ordering-Sensitive and Semantic-Aware Topic Modeling
AAAI, pp. 2353-2360, 2015.
Topic modeling of textual corpora is an important and challenging problem. In most previous work, the bag-of-words assumption is usually made which ignores the ordering of words. This assumption simplifies the computation, but it unrealistically loses the ordering information and the semantic of words in the context. In this paper, we pre...More
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