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ACL
2007
13 years 9 months ago
A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation
Recent studies suggest that machine learning can be applied to develop good automatic evaluation metrics for machine translated sentences. This paper further analyzes aspects of l...
Joshua Albrecht, Rebecca Hwa
CVPR
2009
IEEE
15 years 2 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
CIKM
2009
Springer
13 years 8 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
SIGIR
2002
ACM
13 years 7 months ago
Liberal relevance criteria of TREC -: counting on negligible documents?
Most test collections (like TREC and CLEF) for experimental research in information retrieval apply binary relevance assessments. This paper introduces a four-point relevance scal...
Eero Sormunen
NIPS
2007
13 years 9 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones