Search Results for author:
Found 2 papers, 2 papers with code
A Flexible Multi-Task Model for BERT Serving
In this demonstration, we present an efficient BERT-based multi-task (MT) framework that is particularly suitable for iterative and incremental development of the tasks.
Masked Conditional Random Fields for Sequence Labeling
Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
