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» Evaluating and comparing three text-production techniques
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ICML
2005
IEEE
15 years 10 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
WWW
2009
ACM
15 years 10 months ago
Graffiti: node labeling in heterogeneous networks
We introduce a multi-label classification model and algorithm for labeling heterogeneous networks, where nodes belong to different types and different types have different sets of...
Ralitsa Angelova, Gjergji Kasneci, Fabian M. Sucha...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
15 years 10 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
EWSN
2008
Springer
15 years 9 months ago
Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
We present Typhoon, a protocol designed to reliably deliver large objects to all the nodes of a wireless sensor network (WSN). Typhoon uses a combination of spatially-tuned timers,...
Chieh-Jan Mike Liang, Razvan Musaloiu-Elefteri, An...
IAT
2008
IEEE
15 years 3 months ago
Comparison of Agent-Based and Population-Based Simulations of Displacement of Crime
Within Criminology, the process of crime displacement is usually explained by referring to the interaction of three types of agents: criminals, passersby, and guardians. Most exis...
Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn...