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ICTIR
2009
Springer
9 years 6 months ago
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
We address the problem of online term recurrence prediction: for a stream of terms, at each time point predict what term is going to recur next in the stream given the term occurre...
Dell Zhang, Jinsong Lu, Robert Mao, Jian-Yun Nie
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
9 years 5 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
ASRU
2013
22views more  ASRU 2013»
4 years 6 months ago
K-component recurrent neural network language models using curriculum learning
Conventional n-gram language models are known for their limited ability to capture long-distance dependencies and their brittleness with respect to within-domain variations. In th...
Yangyang Shi, Martha Larson, Catholijn M. Jonker
EMNLP
2010
8 years 10 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...
ACL
2015
3 years 7 months ago
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex comput...
Kai Sheng Tai, Richard Socher, Christopher D. Mann...
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