Snippet Generation for Geographic Information Retrieval
Author:
Affiliation:
1. NTT Cyber Solutions Laboratories, NTT Corporation
2. Precision and Intelligence Laboratory, Tokyo Institute of Technology
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
http://www.jstage.jst.go.jp/article/tjsai/24/6/24_6_494/_pdf
Reference25 articles.
1. [Andrade 06] Andrade, L. and Silva, M. J.: Relevance Ranking for Geographic IR, in GIR '06: Proceedings of the 3rd Workshop on Geographic Information Retrieval (2006)
2. [Chali 02] Chali, Y.: Generic and Query-Based Text Summarization Using Lexical Cohesion, in AI'02: Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence, pp. 293-302 (2002)
3. [Clough 05] Clough, P.: Extracting metadata for spatially-aware information retrieval on the internet, in GIR '05: Proceedings of the 2005 workshop on Geographic information retrieval, pp. 25-30 (2005)
4. [Dumais 02] Dumais, S., Banko, M., Brill, E., Lin, J., and Ng, A.: Web question answering: is more always better?, in SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 291-298 (2002)
5. [Edmundson 64] Edmundson, H. P.: Problems in automatic abstracting, Commun. ACM, Vol. 7, No. 4, pp. 259-263 (1964)
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