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WWW
2008
ACM
14 years 5 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
JNW
2008
171views more  JNW 2008»
13 years 4 months ago
The Necessity of Semantic Technologies in Grid Discovery
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
Serena Pastore
DEBU
2008
187views more  DEBU 2008»
13 years 4 months ago
Social SQL: Tools for Exploring Social Databases
Social media are constructed from the collective contributions of potentially millions of individuals and present an increasingly common and large scale form of database. As these...
Marc A. Smith, Vladimir Barash
ACL
2008
13 years 6 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki
WAIM
2010
Springer
13 years 3 months ago
HyperGraphDB: A Generalized Graph Database
We present HyperGraphDB, a novel graph database based on generalized hypergraphs where hyperedges can contain other hyperedges. This generalization automatically reifies every ent...
Borislav Iordanov