Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems.
Jia LiChongyang TaoWei WuYansong FengDongyan ZhaoRui YanPublished in: EMNLP/IJCNLP (1) (2019)
Keyphrases
- 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