[DOC] Update Readme with correct mxnet version (#635)

* Update README.rst

* Update index.rst

* Update index.rst

* Update README.rst

* Update data.rst

* Update wikitext.py

Author: eric-haibin-lin

README.rst

@@ -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>`_.
+  - **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
@@ -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:
 

docs/api/modules/data.rst

@@ -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
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

docs/index.rst

@@ -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::
 

scripts/bert/index.rst

@@ -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:
 
 +-----------------------------+----------------+-----------------+

src/gluonnlp/data/corpora/wikitext.py

@@ -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
 
@@ -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