July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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Raw data format
Each of the five tasks has 1,000 dialogues each for training, validation, and testing. The file format for each task is as follows:
ID user_utterance [tab] bot_response ...
The IDs for a given dialog start at 1 and increase. When the IDs in a file reset back to 1, the following sentences are the start of a new dialog. This is an example of a raw dialog:
1 hi hello what can i help you with today 2 can you make a restaurant reservation with french cuisine for four people in an expensive price range i'm on it 3 <SILENCE> where should it be 4 tokyo please ok let me look into some options for you 5 <SILENCE> api_call french tokyo four expensive
The model must learn to predict the bot response for each user utterance. ...
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