Add issue link for GH issue summarization

CONTRIBUTING.md

@@ -24,7 +24,7 @@ We have assigned priorities to the items below. See priority guidance:
 | -------- | :-----------------------: | :------: | :----------------: | :-----------: | :---------------: | :----: | :-----: |
 | TensorFlow serving end-to-end | How to perform TensorFlow serving on Kubeflow e2e | **P0** | TODO | TensorFlow | [nkash](https://github.com/nkashy1) | TODO | TODO |
 | [Zillow housing prediction](https://www.kaggle.com/c/zillow-prize-1/kernels) | Zillow's home value prediction on Kaggle | **P0** | High prize Kaggle competition w/ opportunity to show XGBoost | XGBoost | [puneith](https://github.com/puneith) | Google | [issue #16](https://github.com/kubeflow/examples/issues/16) |
-| [GitHub issue summarization](https://hackernoon.com/how-to-create-data-products-that-are-magical-using-sequence-to-sequence-models-703f86a231f8) | Text summarization on GitHub dataset | **P0** | End-to-end example of using Kubeflow for data science | scikit-learn | [texasmichelle](https://github.com/texasmichelle) | Google | TODO |
+| [GitHub issue summarization](https://hackernoon.com/how-to-create-data-products-that-are-magical-using-sequence-to-sequence-models-703f86a231f8) | Text summarization on GitHub dataset | **P0** | End-to-end example of using Kubeflow for data science | scikit-learn | [texasmichelle](https://github.com/texasmichelle) | Google | [issue #14](https://github.com/kubeflow/examples/issues/14) |
 | [Mercari price suggestion challenge](https://www.kaggle.com/c/mercari-price-suggestion-challenge) | Automatically suggest product proces to online sellers | **P0** | | | | | |
 | [Airbnb new user bookings](https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings) | Where will a new guest book their first travel experience | | | | | | |
 | [TensorFlow object detection](https://github.com/tensorflow/models/tree/master/research/object_detection) | Object detection using TensorFlow API | | | | | | |