Minor fix in tutorial

1 files changed, 7 insertions, 7 deletions

diff --git a/demo/StanfordNLP_101.ipynb b/demo/StanfordNLP_101.ipynb
index 6e7cd92e..83aeccf6 100644
--- a/demo/StanfordNLP_101.ipynb
+++ b/demo/StanfordNLP_101.ipynb
@@ -29,7 +29,7 @@
         "\n",
         "StanfordNLP is a Python NLP toolkit that supports 50+ human languages. It is built with highly accurate neural network components that enable efficient training and evaluation with your own annotated data, and offers pretrained models on 70+ treebanks. Additionally, StanfordNLP provides a stable, officially maintained Python interface to Java Stanford CoreNLP Toolkit.\n",
         "\n",
-        "This is a simple tutorial that demonstrates the basic functionalities of StanfordNLP."
+        "In this tutorial, we will demonstrate how to set up StanfordNLP and annotate text with its native neural network NLP models. For the use of the Python CoreNLP interface, please see other tutorials."
       ]
     },
     {
@@ -68,7 +68,7 @@
         "colab_type": "text"
       },
       "source": [
-        "#### More Information\n",
+        "### More Information\n",
         "\n",
         "For common troubleshooting, please visit our [troubleshooting page](https://stanfordnlp.github.io/stanfordnlp/installation_usage.html#troubleshooting)."
       ]
@@ -112,7 +112,7 @@
         "colab_type": "text"
       },
       "source": [
-        "#### More Information\n",
+        "### More Information\n",
         "\n",
         "Pretrained models are provided for 50+ different languages. For all languages and the corresponding short language codes, please check out the [models page](https://stanfordnlp.github.io/stanfordnlp/models.html#human-languages-supported-by-stanfordnlp).\n"
       ]
@@ -134,7 +134,7 @@
         "colab_type": "text"
       },
       "source": [
-        "#### Constructing Pipeline\n",
+        "### Constructing Pipeline\n",
         "\n",
         "To process a piece of text, you'll need to first construct a `Pipeline` with different `Processor` units. The pipeline is language-specific, so again you'll need to first specify the language (see examples).\n",
         "\n",
@@ -167,7 +167,7 @@
         "colab_type": "text"
       },
       "source": [
-        "#### Annotating Text\n",
+        "### Annotating Text\n",
         "\n",
         "After a pipeline is successfully constructed, you can get annotations of a piece of text simply by passing the string into the pipeline object. The pipeline will return a `Document` object, which can be used to access detailed annotations from. For example:\n"
       ]
@@ -198,7 +198,7 @@
         "colab_type": "text"
       },
       "source": [
-        "#### More Information\n",
+        "### More Information\n",
         "\n",
         "For more information on how to construct a pipeline and information on different processors, please visit our [pipeline page](https://stanfordnlp.github.io/stanfordnlp/pipeline.html)."
       ]
@@ -296,7 +296,7 @@
         "colab_type": "text"
       },
       "source": [
-        "#### More Information\n",
+        "### More Information\n",
         "\n",
         "For all information on different data objects, please visit our [data objects page](https://stanfordnlp.github.io/stanfordnlp/data_objects.html)."
       ]