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[DOC] Update Readme with correct mxnet version #635

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[DOC] Update Readme with correct mxnet version #635

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Update README.rst
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Update index.rst
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7 changes: 5 additions & 2 deletions README.rst
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Expand Up @@ -30,9 +30,12 @@ Language Processing (NLP) research.
News
====

- GluonNLP is featured in:
- Tutorial proposal for GluonNLP is accepted at `EMNLP 2019 <https://www.emnlp-ijcnlp2019.org>`__, Hong Kong.

- GluonNLP was featured in:

- **AWS re:invent 2018 in Las Vegas, 2018-11-28**! Checkout `details <https://www.portal.reinvent.awsevents.com/connect/sessionDetail.ww?SESSION_ID=88736>`_.
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https://pydata.org/nyc2018/schedule/presentation/76/

- **PyData 2018 NYC, 2018-10-18**! Checkout the `awesome talk <https://pydata.org/nyc2018/schedule/presentation/76/>`__ by Sneha Jha.
- **KDD 2018 London, 2018-08-21, Apache MXNet Gluon tutorial**! Check out **https://kdd18.mxnet.io**.

Installation
Expand All @@ -48,7 +51,7 @@ In particular, if you want to install the most recent ``MXNet`` release:

::

pip install --upgrade mxnet>=1.3.0
pip install --upgrade mxnet>=1.4.0

Else, if you want to install the most recent ``MXNet`` nightly build:

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2 changes: 2 additions & 0 deletions docs/api/modules/data.rst
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Expand Up @@ -24,6 +24,8 @@ The dataset is available under the Creative Commons Attribution-ShareAlike Licen

WikiText2
WikiText103
WikiText2Raw
WikiText103Raw

Language modeling: Google 1 Billion Words
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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2 changes: 1 addition & 1 deletion docs/index.rst
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Expand Up @@ -51,7 +51,7 @@ command installs the latest version of MXNet.

.. code-block:: console

pip install --upgrade mxnet>=1.3.0
pip install --upgrade mxnet>=1.4.0

.. note::

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2 changes: 2 additions & 0 deletions scripts/bert/index.rst
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Expand Up @@ -5,6 +5,8 @@ Bidirectional Encoder Representations from Transformers

Reference: Devlin, Jacob, et al. "`Bert: Pre-training of deep bidirectional transformers for language understanding. <https://arxiv.org/abs/1810.04805>`_" arXiv preprint arXiv:1810.04805 (2018).

Note: BERT model requires `nightly version of MXNet <https://mxnet.incubator.apache.org/versions/master/install/index.html?version=master&platform=Linux&language=Python&processor=CPU>`__.

The following pre-trained BERT models are available from the **gluonnlp.model.get_model** API:

+-----------------------------+----------------+-----------------+
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4 changes: 2 additions & 2 deletions src/gluonnlp/data/corpora/wikitext.py
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Expand Up @@ -79,7 +79,7 @@ class WikiText2(_WikiText):
WikiText2 is implemented as CorpusDataset with the default flatten=True.

From
https://einstein.ai/research/the-wikitext-long-term-dependency-language-modeling-dataset
https://www.salesforce.com/products/einstein/ai-research/the-wikitext-dependency-language-modeling-dataset/

License: Creative Commons Attribution-ShareAlike

Expand Down Expand Up @@ -166,7 +166,7 @@ class WikiText103(_WikiText):
WikiText103 is implemented as CorpusDataset with the default flatten=True.

From
https://einstein.ai/research/the-wikitext-long-term-dependency-language-modeling-dataset
https://www.salesforce.com/products/einstein/ai-research/the-wikitext-dependency-language-modeling-dataset/

License: Creative Commons Attribution-ShareAlike

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