Update to README for summarization

examples/text_summarization/README.md

@@ -28,6 +28,6 @@ The following summarizes each notebook for Text Summarization. They are grouped
 |[Abstractive Text Summarization using BertSumAbs](./abstractive/abstractive_summarization_bertsumabs_cnndm.ipynb) |[Abstractive](./abstractive)|Local|A notebook which walks through fine-tuning and evaluating pre-trained BERTSumAbs model for abstractive summarization |CNN/DailyMail|
 |[Abstractive Text Summarization using MiniLM](./abstractive/abstractive_summarization_minilm_cnndm.ipynb) |[Abstractive](./abstractive)|Local|A notebook which walks through fine-tuning and evaluating pre-trained MiniLM model for abstractive summarization |CNN/DailyMail|
 |[Abstractive Text Summarization using UniLM](./abstractive/abstractive_summarization_unilm_cnndm.ipynb) |[Abstractive](./abstractive)|Local|A notebook which walks through fine-tuning and evaluating pre-trained UniLM model for abstractive summarization |CNN/DailyMail|
-|[Distributed BERTSum for Extractive Text Summarization on AzureML](./extractive/extractive_summarization_cnndm_aml_distributed.ipynb) |[Extractive](./extractive)|Azure ML|A notebook which walks through fine-tuning and evaluating pre-trained BERTSum model for extractive summarization on a distributed setup with AzureML. |CNN/DailyMail|
-|[Extractive Text Summarization using Transformers](./abstractive/abstractive_summarization_bertsumabs_cnndm.ipynb) |[Extractive](./extractive)|Local|A notebook which walks through fine-tuning and evaluating pre-trained transformers model for extractive summarization |CNN/DailyMail|
+|[Distributed BERTSum for Extractive Text Summarization on AzureML](./extractive/extractive_summarization_cnndm_aml_distributed/extractive_summarization_cnndm_aml_distributed.ipynb) |[Extractive](./extractive)|Azure ML|A notebook which walks through fine-tuning and evaluating pre-trained BERTSum model for extractive summarization on a distributed setup with AzureML. |CNN/DailyMail|
+|[Extractive Text Summarization using Transformers](./extractive/extractive_summarization_cnndm_transformer.ipynb) |[Extractive](./extractive)|Local|A notebook which walks through fine-tuning and evaluating pre-trained transformers model for extractive summarization |CNN/DailyMail|