Sequence Labeling

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Many efforts have been made to facilitate natural language processing tasks with pre-trained language models (PTLM), and brought significant improvements to various applications. To fully leverage the nearly unlimited corpora and capture linguistic …

Empower Sequence Labeling with Task-Aware Neural Language Model

Linguistic sequence labeling is a general approach encompassing a variety of problems, such as part-of-speech tagging and named entity recognition. Recent advances in neural networks (NNs) make it possible to build reliable models without handcrafted …