Embedded-State Latent Conditional Random Fields for Sequence Labeling

Dung Thai
Dung Thai
Sree Harsha Ramesh
Sree Harsha Ramesh

CoNLL, pp. 1-10, 2018.

Cited by: 3|Views66
EI

Abstract:

Complex textual information extraction tasks are often posed as sequence labeling or emph{shallow parsing}, where fields are extracted using local labels made consistent through probabilistic inference in a graphical model with constrained transitions. Recently, it has become common to locally parametrize these models using rich features ...More

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