Abstract
On account of the characteristics of online Chinese-Vietnamese topic detection, we propose a Chinese-Vietnamese bilingual topic model based on the Recurrent Chinese Restaurant Process and integrated with event elements. First, the event elements, including the characters, the place and the time, will be extracted from the new dynamic bilingual news texts. Then the word pairs are tagged and aligned from the bilingual news and comments. Both the event elements and the aligned words are integrated into RCRP algorithm to construct the proposed bilingual topic detection model. Finally, we use the model to determine if the new documents will be grouped into a new category or classified into the existing categories, as a result, to detect a topic. Through the contrast experiment, the proposed model achieves a good effect on topic detection.
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Long, Wx., Gao, Jx., Yu, Zt., Gao, Sx., Hong, Xd. (2014). Online Chinese-Vietnamese Bilingual Topic Detection Based on RCRP Algorithm with Event Elements. In: Zong, C., Nie, JY., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2014. Communications in Computer and Information Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45924-9_38
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DOI: https://doi.org/10.1007/978-3-662-45924-9_38
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