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Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems.
Jia Li
Chongyang Tao
Wei Wu
Yansong Feng
Dongyan Zhao
Rui Yan
Published in:
EMNLP/IJCNLP (1) (2019)
Keyphrases
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sampling strategies
dialogue system
sampling strategy
prior knowledge
learning process
active learning
learning algorithm
reinforcement learning
information retrieval systems
average precision
random sampling
domain independent
model selection
language model
data mining
relevance feedback
image retrieval
information retrieval