clean up links for PII samples (#12826)

Author: iscai-msft

sdk/textanalytics/azure-ai-textanalytics/README.md

@@ -443,7 +443,7 @@ Authenticate the client with a Cognitive Services/Text Analytics API key or a to
 In a batch of documents:
 * Analyze sentiment: [sample_analyze_sentiment.py][analyze_sentiment_sample] ([async version][analyze_sentiment_sample_async])
 * Recognize entities: [sample_recognize_entities.py][recognize_entities_sample] ([async version][recognize_entities_sample_async])
-* Recognize personally identifiable information: [sample_recognize_pii_entities.py](`https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_pii_entities.py`)([async version](`https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_pii_entities_async.py`))
+* Recognize personally identifiable information: [sample_recognize_pii_entities.py][recognize_pii_entities_sample]([async version][recognize_pii_entities_sample_async])
 * Recognize linked entities: [sample_recognize_linked_entities.py][recognize_linked_entities_sample] ([async version][recognize_linked_entities_sample_async])
 * Extract key phrases: [sample_extract_key_phrases.py][extract_key_phrases_sample] ([async version][extract_key_phrases_sample_async])
 * Detect language: [sample_detect_language.py][detect_language_sample] ([async version][detect_language_sample_async])
@@ -531,6 +531,8 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [recognize_entities_sample_async]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_entities_async.py
 [recognize_linked_entities_sample]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_linked_entities.py
 [recognize_linked_entities_sample_async]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_linked_entities_async.py
+[recognize_pii_entities_sample]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_pii_entities.py
+[recognize_pii_entities_sample_async]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_pii_entities_async.py
 
 [cla]: https://cla.microsoft.com
 [code_of_conduct]: https://opensource.microsoft.com/codeofconduct/

sdk/textanalytics/azure-ai-textanalytics/samples/README.md

@@ -24,7 +24,7 @@ These sample programs show common scenarios for the Text Analytics client's offe
 |[sample_detect_language.py][detect_language] and [sample_detect_language_async.py][detect_language_async]|Detect language in documents|
 |[sample_recognize_entities.py][recognize_entities] and [sample_recognize_entities_async.py][recognize_entities_async]|Recognize named entities in documents|
 |[sample_recognize_linked_entities.py][recognize_linked_entities] and [sample_recognize_linked_entities_async.py][recognize_linked_entities_async]|Recognize linked entities in documents|
-|[sample_recognize_pii_entities.py](`https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_pii_entities.py`) and [sample_recognize_pii_entities_async.py](`https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_pii_entities_async.py`)|Recognize personally identifiable information in documents|
+|[sample_recognize_pii_entities.py][recognize_pii_entities] and [sample_recognize_pii_entities_async.py][recognize_pii_entities_async]|Recognize personally identifiable information in documents|
 |[sample_extract_key_phrases.py][extract_key_phrases] and [sample_extract_key_phrases_async.py][extract_key_phrases_async]|Extract key phrases from documents|
 |[sample_analyze_sentiment.py][analyze_sentiment] and [sample_analyze_sentiment_async.py][analyze_sentiment_async]|Analyze the sentiment of documents|
 |[sample_alternative_document_input.py][sample_alternative_document_input] and [sample_alternative_document_input_async.py][sample_alternative_document_input_async]|Pass documents to an endpoint using dicts|
@@ -73,6 +73,8 @@ what you can do with the Azure Text Analytics client library.
 [recognize_entities_async]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_entities_async.py
 [recognize_linked_entities]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_linked_entities.py
 [recognize_linked_entities_async]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_linked_entities_async.py
+[recognize_pii_entities]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_pii_entities.py
+[recognize_pii_entities_async]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_pii_entities_async.py
 [extract_key_phrases]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_extract_key_phrases.py
 [extract_key_phrases_async]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_extract_key_phrases_async.py
 [analyze_sentiment]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_analyze_sentiment.py