Cleaning README of AS IS statements that we don't need aymore
This repository will provide examples and best practices for building NLP systems, provided as Jupyter notebooks.
-## Datasets
-MICROSOFT PROVIDES THE DATASETS ON AN "AS IS" BASIS. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, GUARANTEES OR CONDITIONS WITH RESPECT TO YOUR USE OF THE DATASETS. TO THE EXTENT PERMITTED UNDER YOUR LOCAL LAW, MICROSOFT DISCLAIMS ALL LIABILITY FOR ANY DAMAGES OR LOSSES, INLCUDING DIRECT, CONSEQUENTIAL, SPECIAL, INDIRECT, INCIDENTAL OR PUNITIVE, RESULTING FROM YOUR USE OF THE DATASETS.
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-The datasets are provided under the original terms that Microsoft received such datasets. See below for more information about each dataset.
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-### Word2Vec embeddings
->This dataset is provided under the [Apache License 2.0](http://www.apache.org/licenses/LICENSE-2.0). Redistributing the dataset GoogleNews-vectors-negative300.bin with attribution:
-> - Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.
-> - Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013.
-> - Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic Regularities in Continuous Space Word Representations. In Proceedings of NAACL HLT, 2013.
->
-> Original Source: https://code.google.com/archive/p/word2vec/
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-### GloVe embeddings
->This dataset is provided under the [Public Domain Dedication and License v1.0](http://www.opendatacommons.org/licenses/pddl/1.0/). Redistributing the dataset glove.840B.300d.zip with attribution:
-> Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation.
->
-> Original Source: https://nlp.stanford.edu/projects/glove/
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-### fastText embeddings
->This dataset is provided under the [Creative Commons Attribution-Share-Alike License 3.0](https://creativecommons.org/licenses/by-sa/3.0/). Redistributing the dataset wiki.en.bin with attribution:
-> T. Mikolov, E. Grave, P. Bojanowski, C. Puhrsch, A. Joulin. Advances in Pre-Training Distributed Word Representations
->
-> Original Source: https://fasttext.cc/docs/en/english-vectors.html
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## Planning etc documents
All feature planning is done via projects, milestones, and issues in this Github repository.
