NLP and AI in Chatbots Flashcards

What does NLP stand for in the context of chatbots?

Answer: Natural Language Processing

Natural Language Processing is the AI discipline that enables chatbots to understand and generate human language.

What is 'intent recognition' in NLP-powered chatbots?

Answer: Identifying the goal or purpose behind a user's message

Intent recognition classifies user input to determine what action or information the user is seeking.

What are 'entities' in NLP chatbot terminology?

Answer: Specific pieces of information extracted from user input, such as dates, names, or locations

Entity extraction pulls structured data from unstructured text to help the bot fulfill user requests precisely.

Which machine learning approach is most commonly used for chatbot intent classification?

Answer: Supervised learning with labeled training examples

Supervised learning trains intent classifiers on labeled examples of user utterances mapped to their correct intents.

What is a 'training utterance' in chatbot NLP?

Answer: A sample user phrase used to teach the model to recognize a specific intent

Training utterances are example sentences that teach the NLP model what different user intents look like in natural language.

What problem does 'confidence threshold' solve in NLP chatbots?

Answer: Preventing the bot from acting on low-confidence intent predictions that may be incorrect

A confidence threshold ensures the bot only proceeds when it is sufficiently certain about the user's intent, triggering fallback otherwise.