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ECAI
2006
Springer
15 years 9 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
EWCBR
2008
Springer
15 years 9 months ago
Increasing Precision of Credible Case-Based Inference
Abstract. Credible case-based inference (CCBI) is a new and theoretically sound inferencing mechanism for case-based systems. In this paper, we formally investigate the level of pr...
Thomas Gabel, Martin Riedmiller
ACL
2008
15 years 9 months ago
Exploiting N-best Hypotheses for SMT Self-Enhancement
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
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ACL
2008
15 years 9 months ago
Robust Extraction of Named Entity Including Unfamiliar Word
This paper proposes a novel method to extract named entities including unfamiliar words which do not occur or occur few times in a training corpus using a large unannotated corpus...
Masatoshi Tsuchiya, Shinya Hida, Seiichi Nakagawa
ACL
2007
15 years 9 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
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