Computation on Sentence Semantic Distance for Novelty Detection

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R8r#j5L.bL:t0Hua-Ping ZHANG, Jian Sun, Bin WANG, Shuo BAI. Computation on Sentence Semantic Distance for Novelty Detection; Chinese Journal of Computer Science and Tech. vol.3, 2005

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Abstract   This paper reports on customized language parsing technique for information retrieval at sentence level. As linguistic preprocess, customized language parsing is more essential for sentence retrieval than documents. Starting from natural language, it aims to extract query intention from topics and analyze relevant information within sentences. Some sentence retrieval models and query expansion strategies have been applied on the basis of the linguistic parsing results. Experiments conducted on TREC novelty track test data show that sentence retrieval with customized language parsing rank top among previously published results. It indicates that customized language parsing is more effective for sentence retrieval.自然语言处理与信息检索共享平台']5_B3N.E7ml

.{6eX*hr lG0Keywords language parsing, novelty detection, sentence retrieval    

-]9Y&y h#u6Bs&N f]C0 自然语言处理与信息检索共享平台C1i2i\yN

CLPSR-Final.pdf(94.5 KB)自然语言处理与信息检索共享平台DNN9l {"i#Xz

TAG: language parsing novelty detection sentence retrieval
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