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» A Knowledge-Based Approach for Selecting Information Sources
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ICASSP
2009
IEEE
13 years 6 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
CLEF
2010
Springer
13 years 9 months ago
Revamping Question Answering with a Semantic Approach over World Knowledge
Classic textual question answering (QA) approaches that rely on statistical keyword relevance scoring without exploiting semantic content are useful to a certain extent, but are li...
Nuno Cardoso, Iustin Dornescu, Sven Hartrumpf, Joh...
CICLING
2007
Springer
14 years 2 months ago
A Competitive Term Selection Method for Information Retrieval
Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...
Franco Rojas López, Héctor Jim&eacut...
EWCBR
2006
Springer
14 years 9 days ago
Case-Based Reasoning for Knowledge-Intensive Template Selection During Text Generation
The present paper describes a case-based reasoning solution for solving the task of selecting adequate templates for realizing messages describing actions in a given domain. This s...
Raquel Hervás, Pablo Gervás
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
14 years 9 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...