期刊文献+

潜在语义索引在FAQ构建中的应用研究 被引量:3

Research of Latent Semantic Index on Frequently-asked Question Construction
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摘要 研究了潜在语义索引在中文自动问答系统FAQ库构建中的应用,并着重阐述了句子相似度的计算方法以及使用LSI对FAQ库去重的实验选取方法,结果显示LSI方法在一定程度上优于TF×IDF方法。 We studied the application of the LSI (latent semantic index) for FAQ construction in Chinese automatic question and answer system, and emphatically introduces computing technology in sentence similarity and experiment methods of using latent semantic index for FAQ repetition. The result showed the LSI was better than the TF×IDF.
出处 《石河子大学学报(自然科学版)》 CAS 2005年第6期778-781,共4页 Journal of Shihezi University(Natural Science)
关键词 自动问答 FAQ 潜在语义索引 句子相似度 automatic question and answer frequently-asked question latent semantic index sentence similarity
  • 相关文献

参考文献3

  • 1郑实福,刘挺,秦兵,李生.自动问答综述[J].中文信息学报,2002,16(6):46-52. 被引量:165
  • 2Deerwester S,Dumais S T,Harshman R,et al.Indexing by latent semantic analysis[J].Journal of the American Society for Information Science,1990,41 (6):391-407. 被引量:1
  • 3Dermatas E,Kokkinakis G.Automatic stochastic tagging of natural language texts[J].Conputational Linguistics,1995,21(2):137-163. 被引量:1

二级参考文献11

  • 1[8]Ulf Hermjakob. Parsing and Question Classification for Question Answering. Proceeding of the workshop on Open-Domain Question Answering at ACL-2001 被引量:1
  • 2[9]Eugene Agichtein, Steve Lawrence, Luis Gravano. Learning Search Engine Specific Query Transformations for Question Answering. ACM 2001,169- 178 被引量:1
  • 3[10]Soo-Min Kim, ae-Ho Baek, Sang-Beom Kim, Hae-Chang Rim Question Answering Considering Semantic Categories and Co-occurrence Density. Proceedings of the night Text Retrieval Conference (TREC-9) 被引量:1
  • 4[11]Marius Pasca, Sanda Harabagiu. High-Performance Question/Answering. 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ( Sigir-01 ). New Orleans, LA. September 9 - 13,2001 被引量:1
  • 5[1]Ittycheriah,M. Franz,W-J Zhu,A. Ratnaparkhi. IBM's Statistical Question Answering System. Proceedings of the night Text Retrieval Conference (TREC-9) 被引量:1
  • 6[2]D. Elworthy. Question Answering Using a Large NLP System. Proceedings of the night Text Retrieval Conference (TREC-9) 被引量:1
  • 7[3]L. Wu,X-j Huang,Y. Guo,B. Liu,Y. Zhang. FDU at TREC-9:CLIR,Filtering and QA Tasks. Proceedings of the night Text Retrieval Conference(TREC-9) 被引量:1
  • 8[4]R.J. Cooper, S. M. Rüger. A Simple Question Answering System. Proceedings of the night Text Retrieval Conference(TREC-9) 被引量:1
  • 9[5]C.L.A. Clarke, G. V. Cormack, D. I. E. Kisman, T. R. Lynam. Question Answering by Passage Selection. Proceedings of the night Text Retrieval Conference (TREC-9) 被引量:1
  • 10[6]S-M Kim,D-H Baek,S-B Kim,H-C Rim. Question Answering Considering Semantic Categories and CoOccurrence Density. Proceedings of the night Text Retrieval Conference(TREC-9) 被引量:1

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同被引文献35

引证文献3

二级引证文献14

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