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» Ranking with Uncertain Labels
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ICASSP
2008
IEEE
14 years 3 months ago
A comparative study of probabilistic ranking models for spoken document summarization
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
Shih-Hsiang Lin, Yi-Ting Chen, Hsin-Min Wang, Bin ...
ML
2010
ACM
141views Machine Learning» more  ML 2010»
13 years 7 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen
ESWS
2008
Springer
13 years 10 months ago
Enriching an Ontology with Multilingual Information
Organizations working in a multilingual environment demand multilingual ontologies. To solve this problem we propose LabelTranslator, a system that automatically localizes ontologi...
Mauricio Espinoza, Asunción Gómez-P&...
ICYCS
2008
IEEE
14 years 3 months ago
DSmT Qualitative Reasoning based on 2-Tuple Linguistic Representation Model
Most of modern systems for information retrieval, fusion and management have to deal more and more with information expressed quatitatively (by linguistic labels) since human repo...
Xinde Li, Xianzhong Dai, Jean Dezert, Florentin Sm...
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 6 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...