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» Label Ranking Methods based on the Plackett-Luce Model
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ACL
2006
15 years 1 months ago
A Hybrid Convolution Tree Kernel for Semantic Role Labeling
A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual...
Wanxiang Che, Min Zhang, Ting Liu, Sheng Li
NLDB
2007
Springer
15 years 5 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
WWW
2010
ACM
15 years 6 months ago
SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement
We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
Raju Balakrishnan, Subbarao Kambhampati
SIGIR
2008
ACM
14 years 11 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
ICASSP
2011
IEEE
14 years 3 months ago
A simple music/voice separation method based on the extraction of the repeating musical structure
Repetition is a core principle in music. This is especially true for popular songs, generally marked by a noticeable repeating musical structure, over which the singer performs va...
Zafar Rafii, Bryan Pardo