What is Training Data?

Training data is the data that is used to train an NLU engine. An NLU engine allows chatbots to understand the intent of user queries.

The training data is enriched by data labeling or data annotation, with information about entities, slots… 

This training process provides the bot with the ability to hold a meaningful conversation with real people.

After the training process, the bot is evaluated to measure the accuracy of the NLU engine. Evaluation identifies errors in the bot behavior and these errors are then fixed by improving training data. This cycle is repeated

When working on AI projects, owning data to nurture your solution is key for good performance.

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Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now as techniques that complement each other rather than as NLP vs ML. In this post,  we will focus on NLP and how it works together with ML to solve the challenges Artificial Intelligence is posing.