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Finding semantic similarity is an important task in many natural language processing applications. Despite numerous works for popular languages, there is still limited research done for Vietnamese. In this paper, we tackle the problem of finding semantic similarity for Vietnamese using Random Indexing and Hyperspace Analogue to Language to represent the semantics of words and documents. We build a...
This paper describes an approach to Vietnamese text summarization, concentrated on the discourse structure of the text. Based on characteristics of Vietnamese, we propose rules for segmenting text into elementary discourse units (edus) and for recognizing discourse relations between textual spans. The score of an edu is computed based on the discourse tree. The edus with highest scores are chosen...
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