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Entities are powerful tools used for extracting parameter values from natural language inputs. Any important data you want to get from a user's request, will have a corresponding entity.

The entities used in a particular agent will depend on the parameter values that are expected to be returned as a result of the agent functioning. In other words, a developer does not need to create entities for every possible concept mentioned in the agent – only for those needed for actionable data.

There are 3 types of entities: system (defined by Dialogflow), developer (defined by a developer), and user (built for each individual end-user in every request) entities. Each of these can be classified as mapping (having reference values), enum (having no reference values), or composite (containing other entities with aliases and returning object type values) entities.

System Entities

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are pre-built entities provided by Dialogflow in order to facilitate handling the most popular common concepts. Below are examples of the different types of system entities.

This agent uses the @sys.color system entity to find the color in your reply.

On the surface it looks like the agent just repeated what you said, but the intent uses the @sys.color system entity which allows it to pick out the color you mentioned.

If you had said “My favorite color is Crimson”, the agent would still be able to find the color, since "My favorite color is ..." is provided as a Training Phrase .

These system entities have reference values. For example, @sys.date matches common date references such as "January 1, 2015" or "The first of January of 2015" and returns a reference value in ISO-8601 format: 2015-01-01T12:00:00-03:00 .

These entities have no reference value. For example, @sys.color matches most popular colors and returns the matched color as it is without mapping it to any reference value. For example, shades of red, such as "scarlet" or "crimson", won't be mapped to "red" and will return their original values "scarlet" and "crimson".

These entities can contain other entities with aliases and return object type values. For example, @sys.unit-currency is meant for matching amounts of money with indication of currency name, e.g., "50 euros" or "twenty dollars and five cents". It returns an object type value consisting of two attribute-value pairs: {"amount":50,"currency":"EUR"}

You can create your own entities for your agents, either through web forms, uploading them in JSON or CSV formats, or via API calls.

7. Causa depresión. depresión deprimidos placer olvido, Informe OMS 2014

Los Institutos Nacionales de la Salud de Estados Unidos recomiendan hacer ciertos cambios en el estilo de vida para no sufrir secuelas a causa del alcohol.

Aunque el consumo moderado de alcohol sea considerado como medio de convivencia e integrador social, hay una delgada línea que puede llevar a perder el control . ¿Sueles mantener a raya las copas que bebes?

perder control
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In the utterance Book 2 tickets from Seattle to Cairo , the number 2 is matched to a prebuilt entity, Seattle is the origin location and Cairo is the destination location. Each entity is part of a larger, parent entity after the composite entity is created.

In your app, add the prebuilt entity number . For instructions, see Add Prebuilt Entities .

Add the hierarchical entity Location , including the subtypes: origin , destination . For more instructions, see Add hierarchical entities .

Select Entities from the left navigation, and then select Create new entity .

In the pop-up dialog box, type TicketsOrder in the Entity name box, and then select Composite from the Entity type list.

Composite

Select Add Child to add a new child.

In Child #1 , select the entity number from the list.

In Child #2 , select the entity Location::Origin from the list.

Location::Origin

In Child #3 , select the entity Location::Destination from the list.

Child #3 Location::Destination

Select Done .

Note

To delete a child, select the trash button next to it.

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to learn more about extracting the composite entity from the endpoint JSON query response. Try the composite entity Discount For Sale Cheap With Mastercard Diane von Furstenberg Tara Digital Print Dress Whole World Shipping Buy Cheap Find Great Cheap Limited Edition 6oyhqP
to learn more about how to use a composite entity.

Pattern.any entities are only valid in patterns . This entity helps LUIS find the end of entities of varying length and word choice. Because this entity is used in a pattern, LUIS knows where the end of the entity is in the utterance.

If an app has a FindBookInfo intent, the title of the book may interfere with the intent prediction. In order to clarify which words are in the book title, use a Pattern.any within a pattern. The LUIS prediction begins with the utterance. First, the utterance is checked and matched for entities, when the entities are found, then the pattern is checked and matched.

In the utterance Who wrote the book Ask and when was it published? , the book title, Ask, is tricky because it is not contextually obvious where the title ends and where the rest of the utterance begins. Book titles can be any order of words including a single word, complex phrases with punctuation, and nonsensical ordering of words. A pattern allows you to create an entity where the full and exact entity can be extracted. Once the book title is found, the FindBookInfo intent is predicted because that is the intent for the pattern.

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