Accurately Extracting Coherent Relevant Passages Using Hidden Markov Models
In this paper, we present a principled method for accurately extracting coherent relevant passages of variable lengths using HMMs. We show that with appropriate parameter estimation, the HMM method outperforms a number of strong baseline methods on two data sets.
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | text |
| 語言: | English |
| 出版: |
Institutional Knowledge at Singapore Management University
2005
|
| 主題: | |
| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/1257 https://ink.library.smu.edu.sg/context/sis_research/article/2256/viewcontent/p289_jiang.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Singapore Management University |
| 語言: | English |