check marks

Author: aahill

articles/cognitive-services/language-service/overview.md

@@ -184,25 +184,23 @@ This Language service unifies Text Analytics, QnA Maker, and LUIS and provides s
 
 This section will help you decide which Language service feature you should use for your application:
 
-|What do you want to do?  |Document format  |Your best solution  |
-|---------|---------|---------|
-| Extract and redact Personally Identifiable Information (PII) and Personally identifying Information (PHI). | Unstructured text | [PII detection](./personally-identifiable-information/overview.md) \* |
-| Extract categories of information, without creating a custom model.     | Unstructured text         | The [pre-configured NER feature](./named-entity-recognition/overview.md)\*        |
-| Extract categories of information using a model specific to your data. | Unstructured text | [Custom NER](./custom-named-entity-recognition/overview.md)\*\* |
-|Extract key phrases.     | Unstructured text        | [Key phrase extraction](./key-phrase-extraction/overview.md) \*        |
-| Determine the sentiment of text, and opinions about specific topics. | Unstructured text | [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) \* |
-| Summarize long chunks of text or conversations | Unstructured text, formatted textual or transcribed conversations. | [Summarization](./summarization/overview.md) \* | 
-| Disambiguate entities and get links to Wikipedia. | Unstructured text | [entity linking](./entity-linking/overview.md) \* | 
-| Classify documents into categories you define. | Unstructured text | [Custom text classification](./custom-text-classification/overview.md) \*\*|
-| Extract and label medical information from clinical/medical documents | Unstructured text | [Text analytics for health](./text-analytics-for-health/overview.md) \*|
-| Build an conversational application that responds to user inputs. | Unstructured user inputs | [Question answering](./question-answering/overview.md) \*\* |
-| Detect the language a text was written in | Unstructured text | [Language detection](./language-detection/overview.md) \* | 
-| Predict the intention of user inputs and extract information from them. | Unstructured user inputs | [Conversational language understanding](./conversational-language-understanding/overview.md) \*\* |
-| Connect apps from: conversational language understanding, LUIS, and question answering | Unstructured user inputs | [Orchestration workflow](./orchestration-workflow/overview.md) \*\* | 
-
-\* This feature is pre-configured, meaning the AI models that the feature uses are not customizable. You just send your data, and use the feature's output in your applications.
-
-\*\* This feature is customizable, meaning you'll train an AI model using our tools to fit your data specifically.
+|What do you want to do?  |Document format  |Your best solution  | Is this solution customizable?* |
+|---------|---------|---------|---------|
+| Extract and redact Personally Identifiable Information (PII) and Personally identifying Information (PHI). | Unstructured text | [PII detection](./personally-identifiable-information/overview.md) | |
+| Extract categories of information, without creating a custom model.     | Unstructured text         | The [pre-configured NER feature](./named-entity-recognition/overview.md) |       |
+| Extract categories of information using a model specific to your data. | Unstructured text | [Custom NER](./custom-named-entity-recognition/overview.md) | ✓ |
+|Extract key phrases.     | Unstructured text        | [Key phrase extraction](./key-phrase-extraction/overview.md) |   |
+| Determine the sentiment of text, and opinions about specific topics. | Unstructured text | [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) | |
+| Summarize long chunks of text or conversations | Unstructured text, formatted textual or transcribed conversations. | [Summarization](./summarization/overview.md) | | 
+| Disambiguate entities and get links to Wikipedia. | Unstructured text | [entity linking](./entity-linking/overview.md) | | 
+| Classify documents into categories you define. | Unstructured text | [Custom text classification](./custom-text-classification/overview.md) | ✓|
+| Extract and label medical information from clinical/medical documents | Unstructured text | [Text analytics for health](./text-analytics-for-health/overview.md) | |
+| Build an conversational application that responds to user inputs. | Unstructured user inputs | [Question answering](./question-answering/overview.md) | ✓ |
+| Detect the language a text was written in | Unstructured text | [Language detection](./language-detection/overview.md) | | 
+| Predict the intention of user inputs and extract information from them. | Unstructured user inputs | [Conversational language understanding](./conversational-language-understanding/overview.md) | ✓ |
+| Connect apps from: conversational language understanding, LUIS, and question answering | Unstructured user inputs | [Orchestration workflow](./orchestration-workflow/overview.md) | ✓ | 
+
+\* If a feature is customizable, you can train an AI model using our tools to fit your data specifically. Otherwise a feature is pre-configured, meaning the AI models it uses cannot be changed. You just send your data, and use the feature's output in your applications.
 
 ## Migrate from Text Analytics, QnA Maker, or Language Understanding (LUIS)