Linear Co-occurrence Rate Networks (L-CRNs) for Sequence Labeling

  title={Linear Co-occurrence Rate Networks (L-CRNs) for Sequence Labeling},
  author={Zhemin Zhu and Djoerd Hiemstra and Peter M. G. Apers},
Sequence labeling has wide applications in natural language processing and speech processing. Popular sequence labeling models suffer from some known problems. Hidden Markov models (HMMs) are generative models and they cannot encode transition features; Conditional Markov models (CMMs) suffer from the label bias problem; And training of conditional random fields (CRFs) can be expensive. In this paper, we propose Linear Co-occurrence Rate Networks (L-CRNs) for sequence labeling which avoid the… CONTINUE READING

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