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NOTICE.txt
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-------------------------------------------------------------------------------
Copyright 2019
Ubiquitous Knowledge Processing (UKP) Lab
Technische Universität Darmstadt
-------------------------------------------------------------------------------
Third party legal information:
*** src/data/pico: ***
code obtained from https://github.com/yinfeiy/PICO-data/,
copyright is owned by the authors of that repository.
*** src/baselines/hmm.py and src/baslines/util.py ***
Code released under the following licence:
MIT License
Copyright (c) 2017 An Thanh Nguyen
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*** MACE ***
Code is released alongside the following paper and the authors retain copyright:
Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani and Eduard Hovy (2013): Learning Whom to Trust With MACE. In: Proceedings of NAACL-HLT.
*** src/lample_lstm_tagger ***
From https://github.com/glample/tagger.
Copyright 2017 Guillaume Lample
See LICENSE.md in that directory.
*** data/task1.zip ***
Contains data from http://www.fprodrigues.com/software/crf-ma-sequence-labeling-with-multiple-annotators/, collected by Felipe Rodrigues (2014).
This package is from https://github.com/thanhan/seqcrowd-acl17/ by An Thanh Nguyen, Byron C. Wallace, Junyi Jessy Li, Ani Nenkova and Matthew Lease (2017).