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ACL
2009
15 years 4 months ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu
SIGIR
2004
ACM
16 years 4 days ago
Dependence language model for information retrieval
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong ...
ACL
2007
15 years 8 months ago
A discriminative language model with pseudo-negative samples
In this paper, we propose a novel discriminative language model, which can be applied quite generally. Compared to the well known N-gram language models, discriminative language m...
Daisuke Okanohara, Jun-ichi Tsujii
SIGIR
2006
ACM
16 years 20 days ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
ICML
2006
IEEE
16 years 7 months ago
A choice model with infinitely many latent features
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...
Carl Edward Rasmussen, Dilan Görür, Fran...