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SIGIR
2009
ACM
14 years 3 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
CLEF
2009
Springer
13 years 10 months ago
Information Retrieval Baselines for the ResPubliQA Task
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...
Joaquín Pérez-Iglesias, Guillermo Ga...
CICLING
2011
Springer
13 years 18 days ago
Ranking Multilingual Documents Using Minimal Language Dependent Resources
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
14 years 1 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
SPIRE
2007
Springer
14 years 3 months ago
Highly Frequent Terms and Sentence Retrieval
In this paper we propose a novel sentence retrieval method based on extracting highly frequent terms from top retrieved documents. We compare it against state of the art sentence r...
David E. Losada, Ronald T. Fernández