LICENSE.txt

                          PUBLIC DOMAIN NOTICE
              National Center for Biotechnology Information

This software/database is a "United States Government Work" under the terms of
the United States Copyright Act.  It was written as part of the author's
official duties as a United States Government employee and thus cannot be
copyrighted.  This software/database is freely available to the public for use.
The National Library of Medicine and the U.S. Government have not placed any
restriction on its use or reproduction.

Although all reasonable efforts have been taken to ensure the accuracy and
reliability of the software and data, the NLM and the U.S. Government do not and
cannot warrant the performance or results that may be obtained by using this
software or data. The NLM and the U.S. Government disclaim all warranties,
express or implied, including warranties of performance, merchantability or
fitness for any particular purpose.

Please cite the author in any work or product based on this material:

Peng Y, Yan S, Lu Z. Transfer Learning in Biomedical Natural Language 
Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets.
In Proceedings of the 2019 Workshop on Biomedical Natural Language Processing 
(BioNLP 2019). 2019:58-65.