Variational Sequential Labelers for Semi-Supervised Learning

EMNLP 2018 Mingda ChenQingming TangKaren LivescuKevin Gimpel

We introduce a family of multitask variational methods for semi-supervised sequence labeling. Our model family consists of a latent-variable generative model and a discriminative labeler... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Named Entity Recognition CoNLL 2003 (English) VSL-GG-Hier F1 84.7 # 40

Methods used in the Paper


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