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ISMIS
1999
Springer
15 years 4 months ago
A Statistical Approach to Rule Selection in Semantic Query Optimisation
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
Barry G. T. Lowden, Jerome Robinson
COLING
2000
15 years 1 months ago
Structural Feature Selection For English-Korean Statistical Machine Translation
When aligning texts in very different languages such as Korean and English, structural features beyond word or phrase give useful intbrmation. In this paper, we present a method f...
Seonho Kim, Juntae Yoon, Mansuk Song
ICTIR
2009
Springer
15 years 6 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
EACL
2006
ACL Anthology
15 years 1 months ago
Comparing Automatic and Human Evaluation of NLG Systems
We consider the evaluation problem in Natural Language Generation (NLG) and present results for evaluating several NLG systems with similar functionality, including a knowledge-ba...
Anja Belz, Ehud Reiter
CVPR
2009
IEEE
16 years 6 months ago
Harris Corners in the Real World: A Principled Selection Criterion for Interest Points Based on Ecological Statistics
In this report, we consider whether statistical regularities in natural images might be exploited to provide an improved selection criterion for interest points. One approach that ...
Neil D. B. Bruce, Pierre Kornprobst