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EMNLP
2006
13 years 9 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam
MATA
2001
Springer
177views Communications» more  MATA 2001»
14 years 17 days ago
A Self-adaptable Agent System for Efficient Information Gathering
As networks become all-pervasive the importance of efficient information gathering for purposes such as monitoring, fault diagnosis, and performance evaluation can only increase. E...
Antonio Liotta, George Pavlou, Graham Knight
ISCAPDCS
2007
13 years 9 months ago
Evaluation of architectural support for speech codecs application in large-scale parallel machines
— Next generation multimedia mobile phones that use the high bandwidth 3G cellular radio network consume more power. Multimedia algorithms such as speech, video transcodecs have ...
Naeem Zafar Azeemi
BMCBI
2008
171views more  BMCBI 2008»
13 years 8 months ago
Comparative analysis of five protein-protein interaction corpora
Background: Growing interest in the application of natural language processing methods to biomedical text has led to an increasing number of corpora and methods targeting protein-...
Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari B...
SIGIR
2012
ACM
11 years 10 months ago
Will this #hashtag be popular tomorrow?
Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a ...
Zongyang Ma, Aixin Sun, Gao Cong