Relation Representation and Indexing Method for a Fast and High Precision Latent Relational Web Search Engine
Author:
Affiliation:
1. Graduate School of Information Science and Technology, The University of Tokyo
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
http://www.jstage.jst.go.jp/article/tjsai/26/2/26_2_307/_pdf
Reference6 articles.
1. [Banko 08] Banko, M. and Etzioni, O.: The Tradeoffs Between Open and Traditional Relation Extraction, in Proc. of ACL'08, pp. 28-36 (2008)
2. [Bollegala 09] Bollegala, D., Matsuo, Y., and Ishizuka, M.: Measuring the Similarity between Implicit Semantic Relations from the Web, in Proc. of WWW'09, pp. 651-660, ACM (2009)
3. [Bunescu 07] Bunescu, R. C. and Mooney, R. J.: Learning to Extract Relations from the Web using Minimal Supervision, in Proc. of ACL'07, pp. 576-583 (2007)
4. [Goto 10] Goto, T., Duc, N., Bollegala, D., and Ishizuka, M.: Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results, in Proc. of PRICAI'10, pp. 595-600 (2010)
5. [Kato 09] Kato, M. P., Ohshima, H., Oyama, S., and Tanaka, K.: Query by Analogical Example: Relational Search Using Web Search Engine Indices, in Proc. of CIKM'09, pp. 27-36 (2009)
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