Learning the Structure of Variable-Order CRFs: a finite-state perspective

EMNLP 2017 Thomas LavergneFran{\c{c}}ois Yvon

The computational complexity of linear-chain Conditional Random Fields (CRFs) makes it difficult to deal with very large label sets and long range dependencies. Such situations are not rare and arise when dealing with morphologically rich languages or joint labelling tasks... (read more)

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