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CIKM
2009
Springer
16 years 21 days ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
NIPS
2008
15 years 7 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
SRDS
2008
IEEE
16 years 15 days ago
Dynamically Quantifying and Improving the Reliability of Distributed Storage Systems
In this paper, we argue that the reliability of large-scale storage systems can be significantly improved by using better reliability metrics and more efficient policies for rec...
Rekha Bachwani, Leszek Gryz, Ricardo Bianchini, Ce...
ICIW
2007
IEEE
16 years 13 days ago
Context-aware Web Services for Distributed Retrieval of Points of Interest
Due to the widespread availability of accurate localization technologies, navigation systems are more and more present on mobile devices. These applications usually provide facili...
Claudio Bettini, Daniele Riboni
ACL
2011
14 years 9 months ago
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang