What is recall in natural language processing?
An example of an AI chatbot conversation about understanding recall in NLP.
What is recall in natural language processing?
Recall in NLP measures the ability of a model to find all relevant instances in a dataset. It's the ratio of true positives to the sum of true positives and false negatives.
How is recall different from precision?
Recall focuses on the completeness of the results, while precision measures the accuracy of the results. High recall means most relevant items are retrieved, but it can include irrelevant items.
Can you give an example of recall in a chatbot?
Sure! If a chatbot is designed to answer questions about movies, recall would measure how many of the actual movie-related questions it successfully answered out of all the questions asked.
Why is recall important in NLP tasks?
Recall is crucial in tasks like information retrieval and question answering, where missing relevant information can lead to poor user experience.
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