Using LSA and text segmentation to improve automatic Chinese dialogue text summarization
文献类型：期刊论文
| 刊名 | JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
 |
| 出版日期 | 2007 |
| 卷号 | 8 |
| 关键词 | automatic text summarization latent semantic analysis (LSA) text segmentation dialogue style coherence question-answer pairs |
| ISSN号 | 1673-565X |
| 其他题名 | Using LSA and text segmentation to improve automatic Chinese dialogue text summarization |
| 英文摘要 | Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis ( LSA) is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to TextTiling is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some "important" sentences are extracted from the generic content and the question-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness. |
| 语种 | 英语 |
| CSCD记录号 | CSCD:3267513 |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/59044]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 推荐引用方式 GB/T 7714 | . Using LSA and text segmentation to improve automatic Chinese dialogue text summarization[J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,2007,8. |
| APA | (2007).Using LSA and text segmentation to improve automatic Chinese dialogue text summarization.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,8. |
| MLA | "Using LSA and text segmentation to improve automatic Chinese dialogue text summarization".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A 8(2007). |
入库方式： OAI收割
来源：合肥物质科学研究院
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