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» Statistical significance of MUC-6 results
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WWW
2005
ACM
14 years 10 months ago
A framework for determining necessary query set sizes to evaluate web search effectiveness
We describe a framework of bootstrapped hypothesis testing for estimating the confidence in one web search engine outperforming another over any randomly sampled query set of a gi...
Eric C. Jensen, Steven M. Beitzel, Ophir Frieder, ...
ACL
2009
13 years 7 months ago
Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders
This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine transla...
Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Z...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 9 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
AINA
2009
IEEE
14 years 4 months ago
Toward fMRI Group Identification Based on Brain Lateralization
— This research presents a novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activati...
Magno R. Guillen, Malek Adjouadi, Xiaozhen You, Ar...
ANLP
1994
103views more  ANLP 1994»
13 years 10 months ago
Exploiting Sophisticated Representations for Document Retrieval
The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (...
Steven Finch