diff --git a/google/cloud/automl/v1/prediction_service.proto b/google/cloud/automl/v1/prediction_service.proto
index d12f9276..b7b69cc2 100644
--- a/google/cloud/automl/v1/prediction_service.proto
+++ b/google/cloud/automl/v1/prediction_service.proto
@@ -46,42 +46,38 @@ service PredictionService {
   // returned in the response.
   // Available for following ML scenarios, and their expected request payloads:
   //
-  // <table>
-  // <tr>
-  // <td>AutoML Vision Classification</td>
-  // <td>An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.</td>
-  // </tr>
-  // <tr>
-  // <td>AutoML Vision Object Detection</td>
-  // <td>An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.</td>
-  // </tr>
-  // <tr>
-  // <td>AutoML Natural Language Classification</td>
-  // <td>A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
-  // .PDF, .TIF or .TIFF format with size upto 2MB.</td>
-  // </tr>
-  // <tr>
-  // <td>AutoML Natural Language Entity Extraction</td>
-  // <td>A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document
-  //  in .PDF, .TIF or .TIFF format with size upto 20MB.</td>
-  // </tr>
-  // <tr>
-  // <td>AutoML Natural Language Sentiment Analysis</td>
-  // <td>A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
-  // .PDF, .TIF or .TIFF format with size upto 2MB.</td>
-  // </tr>
-  // <tr>
-  // <td>AutoML Translation</td>
-  // <td>A TextSnippet up to 25,000 characters, UTF-8 encoded.</td>
-  // </tr>
-  // <tr>
-  // <td>AutoML Tables</td>
-  // <td>A row with column values matching
+  // AutoML Vision Classification
+  //
+  // * An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
+  //
+  // AutoML Vision Object Detection
+  //
+  // * An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
+  //
+  // AutoML Natural Language Classification
+  //
+  // * A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
+  // .PDF, .TIF or .TIFF format with size upto 2MB.
+  //
+  // AutoML Natural Language Entity Extraction
+  //
+  // * A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document
+  //  in .PDF, .TIF or .TIFF format with size upto 20MB.
+  //
+  // AutoML Natural Language Sentiment Analysis
+  //
+  // * A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in
+  // .PDF, .TIF or .TIFF format with size upto 2MB.
+  //
+  // AutoML Translation
+  //
+  // * A TextSnippet up to 25,000 characters, UTF-8 encoded.
+  //
+  // AutoML Tables
+  //
+  // * A row with column values matching
   //   the columns of the model, up to 5MB. Not available for FORECASTING
   //   `prediction_type`.
-  // </td>
-  // </tr>
-  // </table>
   rpc Predict(PredictRequest) returns (PredictResponse) {
     option (google.api.http) = {
       post: "/v1/{name=projects/*/locations/*/models/*}:predict"
@@ -135,14 +131,14 @@ message PredictRequest {
   // Additional domain-specific parameters, any string must be up to 25000
   // characters long.
   //
-  // <h4>AutoML Vision Classification</h4>
+  // AutoML Vision Classification
   //
   // `score_threshold`
   // : (float) A value from 0.0 to 1.0. When the model
   //   makes predictions for an image, it will only produce results that have
   //   at least this confidence score. The default is 0.5.
   //
-  // <h4>AutoML Vision Object Detection</h4>
+  // AutoML Vision Object Detection
   //
   // `score_threshold`
   // : (float) When Model detects objects on the image,
@@ -154,7 +150,7 @@ message PredictRequest {
   //   boxes returned. The default is 100. The
   //   number of returned bounding boxes might be limited by the server.
   //
-  // <h4>AutoML Tables</h4>
+  // AutoML Tables
   //
   // `feature_importance`
   // : (boolean) Whether
@@ -185,12 +181,12 @@ message PredictResponse {
 
   // Additional domain-specific prediction response metadata.
   //
-  // <h4>AutoML Vision Object Detection</h4>
+  // AutoML Vision Object Detection
   //
   // `max_bounding_box_count`
   // : (int64) The maximum number of bounding boxes to return per image.
   //
-  // <h4>AutoML Natural Language Sentiment Analysis</h4>
+  // AutoML Natural Language Sentiment Analysis
   //
   // `sentiment_score`
   // : (float, deprecated) A value between -1 and 1,
@@ -224,7 +220,7 @@ message BatchPredictRequest {
   // Additional domain-specific parameters for the predictions, any string must
   // be up to 25000 characters long.
   //
-  // <h4>AutoML Natural Language Classification</h4>
+  // AutoML Natural Language Classification
   //
   // `score_threshold`
   // : (float) A value from 0.0 to 1.0. When the model
@@ -232,14 +228,14 @@ message BatchPredictRequest {
   //   that have at least this confidence score. The default is 0.5.
   //
   //
-  // <h4>AutoML Vision Classification</h4>
+  // AutoML Vision Classification
   //
   // `score_threshold`
   // : (float) A value from 0.0 to 1.0. When the model
   //   makes predictions for an image, it will only produce results that
   //   have at least this confidence score. The default is 0.5.
   //
-  // <h4>AutoML Vision Object Detection</h4>
+  // AutoML Vision Object Detection
   //
   // `score_threshold`
   // : (float) When Model detects objects on the image,
@@ -250,7 +246,7 @@ message BatchPredictRequest {
   // : (int64) The maximum number of bounding
   //   boxes returned per image. The default is 100, the
   //   number of bounding boxes returned might be limited by the server.
-  // <h4>AutoML Video Intelligence Classification</h4>
+  // AutoML Video Intelligence Classification
   //
   // `score_threshold`
   // : (float) A value from 0.0 to 1.0. When the model
@@ -288,7 +284,7 @@ message BatchPredictRequest {
   //   type, the quality of it depends on training data, but there are no
   //   metrics provided to describe that quality.
   //
-  // <h4>AutoML Video Intelligence Object Tracking</h4>
+  // AutoML Video Intelligence Object Tracking
   //
   // `score_threshold`
   // : (float) When Model detects objects on video frames,
@@ -314,12 +310,12 @@ message BatchPredictRequest {
 message BatchPredictResult {
   // Additional domain-specific prediction response metadata.
   //
-  // <h4>AutoML Vision Object Detection</h4>
+  // AutoML Vision Object Detection
   //
   // `max_bounding_box_count`
   // : (int64) The maximum number of bounding boxes returned per image.
   //
-  // <h4>AutoML Video Intelligence Object Tracking</h4>
+  // AutoML Video Intelligence Object Tracking
   //
   // `max_bounding_box_count`
   // : (int64) The maximum number of bounding boxes returned per frame.