Please wait a minute...
New Technology of Library and Information Service  2007, Vol. 2 Issue (2): 39-43    DOI: 10.11925/infotech.1003-3513.2007.02.08
Current Issue | Archive | Adv Search |
Research on Passage Retrieval and the Algorithms
Fu Honghu1,2   Zhang Xiaolin1
1(Library of Chinese Academy of Sciences, Beijing 100080,China)
2(Graduate School of the Chinese Academy of Sciences, Beijing 100049,China)
Download: PDF(455 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper provided an overview of passage retrieval, including approaches of division of documents and retrieval algorithms. The difference between text segmentation and passage extraction is also discussed. Several kinds of passage retrieval algorithms and several approach of division of documents are introduced. After comparing of these algorithms and approaches, some research directions of passage retrieval are presented.

Key wordsPassage retrieval      Information retrieval      Text segmentation     
Received: 27 December 2006      Published: 25 February 2007
: 

TP31

 
Corresponding Authors: Fu Honghu     E-mail: fuhh@mail.las.ac.cn
About author:: Fu Honghu,Zhang Xiaolin

Cite this article:

Fu Honghu,Zhang Xiaolin . Research on Passage Retrieval and the Algorithms. New Technology of Library and Information Service, 2007, 2(2): 39-43.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.02.08     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I2/39

1Salton G, Allan J, Buckley C. Approaches to Passage Retrieval in Full Text Information Systems. In: Proceedings of the 16th Annual International ACM SIGIR Conference. Pittsburgh, PA, 1993: 49-58
2Kaszkeil M, Zobel J. Passage Retrieval Revisited, In: Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’97). 1997: 178-185
3Melucci M.Passage Retrieval: A Probabilistic Technique . Information Processing & Management, 1998, 34(1): 43-68
4Wilkinson R. Effective Retrieval of Structured Documents. In: Proc. ACM-SIGIR International Conference on Research and Development in Information Retrieval. Dublin, Ireland, 1994:311-317
5Zobel J, Moffat A, Wilkinson R, et al. Efficient Retrieval of Partial Documents. Information Processing & Management, 1995, 31(3):361-377
6Hearst M A, Plaunt C. Subtopic Structuring for Full-Length Document Access. In Proc. ACM-SIGIR International Conference on Research and Development in Information Retrieval. Pittsburg, 1993: 59-68
7Knaus D, Mittendorf E, Schauble P, et al. Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System. In : NIST Special Publication 500-236:Text Retrieval Conference (TREC-4), Washington, 1995:233-243
8Mittendorf E,Schauble P. Document and Passage Retrieval Based on Hidden Markov Models. In Proc. ACM-SIGIR International Conference on Research and Development in Information Retrieval, Dublin, Ireland, 1994: 318-327
9CalIan J P. Passage-level Evidence in Document Retrieval. In Proc. ACM-SIGIR International Conference on Research and Development in information Retrieval, Dublin, Ireland, 1994: 302-309
10Light M, Mann G S, et al. Analyses for Elucidating Current Question Answering Technology.Journal of Natural Language Engineering, Special Issue on Question Answering, 2001
11Ittycheriah A,Franz M, et al. IBM’s Statistical Question Answering System. In Proceedings of the 9th Text Retrieval Conference (TREC-9), 2000:229
12Lee G G, Seo J, et al. SiteQ: Engineering High Performance QA System Using Lexico-semantic Pattern Matching and Shallow NLP. In : Proceedings of the Tenth Text REtrieval Conference (TREC 2001), 2001:442
13Clarke C L A, Cormack G V, et al. Question Answering by Passage Selection. In: Proceedings of the 9th Text Retrieval Conference (TREC-9), 2000:673
14Ponte J M, Croft W B. A Language Modeling Approach to Information Retrieval. In: Proceedings of the 21st Annual international ACM SIGIR Conference on Research and Development in information Retrieval (SIGIR’98),1998:275-281
15Liu X, Croft W BPassage Retrieval Based on Language Models, In: Proceedings of the 11th International Conference on Information and Knowledge Management(CIKM’02), 2002, 375-382
16Cui H, Sun R, et al. Question Answering Passage Retrieval Using Dependency Relations. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’05) , 2005:400-407
17Lin DDependency-based Evaluation of MINIPAR. In: Proc. of Workshop on the Evaluation of Parsing Systems,Granada,Spain,1998
18Al-Onaizan,Curin J Y,et al.Statistical Machine Translation. Final Report,JHU Workshop.1999
19Text Retrieval Conference.http://trec.nist.gov/(Accessed Jan 12,2007)
20Tellex S, Katz B, Lin J, et al.Quantitative Evaluation of Passage Retrieval Algorithms for Question Answering, SIGIR’03, July 28–August 1, 2003, Toronto, Canada
21Ofoghi B,Yearwood J, Ghosh R.A Semantic Approach to Boost Passage Retrieval Effectiveness for Question Answering. In: Proceedings of the 48th Conference on Computer Science (CRPITS’48),2006

[1] Haixia Sun,Lei Wang,Yingjie Wu,Weina Hua,Junlian Li. Matching Strategies for Institution Names in Literature Database[J]. 数据分析与知识发现, 2018, 2(8): 88-97.
[2] Chaofan Yang,Zhonghua Deng,Xin Peng,Bin Liu. Review of Information Retrieval Research: Case Study of Conference Papers[J]. 数据分析与知识发现, 2017, 1(7): 35-43.
[3] Xiaojuan Zhang, Yi Han. Reviews on Temporal Information Retrieval[J]. 数据分析与知识发现, 2017, 1(1): 3-15.
[4] Mingxuan Huang. Cross Language Information Retrieval Model Based on Matrix-weighted Association Patterns Mining[J]. 数据分析与知识发现, 2017, 1(1): 26-36.
[5] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
[6] Li Guolei, Chen Xianlai, Xia Dong, Yang Rong. Latent Semantic Analysis of Electronic Medical Record Text for Clinical Decision Making[J]. 数据分析与知识发现, 2016, 32(3): 50-57.
[7] Heng Ding, Wei Lu. A Study on Correlation-based Cross-Modal Information Retrieval[J]. 现代图书情报技术, 2016, 32(1): 17-23.
[8] Mao Jin, Li Gang, Cao Yujie. Re-rank Retrieval Results Through Subject Indexing[J]. 现代图书情报技术, 2014, 30(7): 48-55.
[9] Qiu Junping, Fang Guoping. The Comparative Analysis of Natural Language Processing Research at Home and Abroad Based on Knowledge Mapping[J]. 现代图书情报技术, 2014, 30(12): 51-61.
[10] Tang Jingxiao,Lv Xueqiang,Liu Chengyang,Li Han. A Hierarchical Framework for User Intention Recognition[J]. 现代图书情报技术, 2014, 30(1): 36-42.
[11] Zhang Mei, Duan Jianyong, Xu Jichao. Person Name Attribute Knowledge Mining and Its Application for Query Classification[J]. 现代图书情报技术, 2013, 29(9): 82-87.
[12] Zhou Shanshan, Bi Qiang, Gao Junfeng. A Method of Information Retrieval Results Visualization Based on Social Network Analysis[J]. 现代图书情报技术, 2013, 29(11): 81-85.
[13] Ma Junhong. A Staged and Integrated Semantic Similarity Algorithm of Text[J]. 现代图书情报技术, 2013, 29(10): 20-26.
[14] Xiao Ming, Li Wenchao, Xia Qiuju. Mapping the Themes of Information Retrieval Based on Prefuse and Hierarchical Clustering[J]. 现代图书情报技术, 2012, 28(4): 35-40.
[15] Qian Li, Zhang Zhixiong, Zou Yimin, Huang Yongwen. Application of Information Visualization Retrieval in Digital Library[J]. 现代图书情报技术, 2012, 28(4): 74-78.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn