Assist in an online reservation презентация

Order of operations Read the user’s request Set the correct domain Annotate the relevant slots Select a proper action Respond to the user The service is meant

Слайд 1Assist in an online reservation
In this task you will play the

agent's part in a structured conversation with a user. Your job is to answer the user's request for restaurant booking and reservation, and "complete the reservation". You should not actually make a reservation but see whether it is possible or not.
You will post your responses on behalf of Mercury, a bot designed specifically for making reservations. Therefore your replies must be constructed on the basis of her innate characteristics.

Mercury

Patient

Ready to help

Eager to learn

Confident

Responsible

Speaks naturally


Слайд 2Order of operations
Read the user’s request
Set the correct
domain
Annotate the relevant slots


Select

a proper action


Respond to the user


The service is meant for restaurant reservations and we want to direct the user to book something. Upon receiving a request an agent collects the required information and uses it to provide a list of restaurants back to the user. The restaurants must be aligned with the user’s request, available for the chosen time, and bookable online.


Слайд 3Complete the reservation
When user is trying to reserve a restaurant
When user

is trying to search for a specific restaurant’s details

Ask for the city

# of people

Date & Time



Provide a list of restaurants in the following order

Location is specified => Use distance (ascending)

Rating is specified => Use rating (descending)

Nothing is specified => Use rating (descending)

Highlight details

Answer user questions

Perform off-tool search




Слайд 4Highlight any words using existing slots
Answer question about remaining underlined words

after annotation:
Are any of these words required for fulfillment?

The word or phrase is important to understand the user intent and provide best results.

The word or phrase is not required or not significant to understand the user request. E.g. “where is”, “I need”

Annotation of “Unrecognized” or Underlined words




Yes

No


Слайд 5Commonly missed annotations


Слайд 9Commonly missed annotations


Слайд 10Commonly missed annotations


Слайд 11Commonly missed annotations


Слайд 13Reservation Date
Agent: What time?
User: This weekend


This is an example of incorrect

annotation

Correct annotation


Слайд 14Reservation Time


Agent: What time?
User: Around lunchtime
This is an example of incorrect

annotation

Correct annotation


Слайд 15Reservation Time

Don’t forget to annotate values together with surrounding keywords


Слайд 16Number of people


This is an example of incorrect annotation
Correct annotation


Слайд 17

When you don’t correct the values, your response may look like

this:

Слайд 21Required vs. Not Required for Successful Task Completion
Sometimes you may come

across messages with some of the words highlighted with an interrupted line. In this case, part of you assignment is to determine whether these words are required for a successful task completion. You will find the tags Required/Not Required for Successful Task Completion at the bottom of the list of tags on your right.

A rule of thumb is to assign each word only one tag.

Therefore, first you have to tag the words that definitely have the corresponding tags. If you still see any more highlighted words, tag those that are definitely of no importance to the task completion with “Not Required”. See if any of the remaining words are relevant and annotate them with “Required”.


Слайд 22City out of scope
In the scenario when a user provides a

city outside of the current list, an agent should use "Other" domain > Out of Scope action Type to respond.
The list of supported cities currently includes:
Seattle = Seattle
Eastside = Bellevue, Issaquah, Kirkland, Newcastle, Mercer Island, Redmond, Sammamish, Woodinville, Bothell
North Seattle = Edmonds, Lynnwood, Shoreline
South Seattle = Seatac, Kent, Renton


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