How can we mitigate common NLP issues in AI chatbots?

What are some common issues faced in NLP for chatbots?

Common issues include misunderstanding user intent, handling slang or idioms, and managing context in conversations.

How can we improve understanding of user intent?

We can improve understanding by using more advanced models, training on diverse datasets, and implementing user feedback.

What techniques can help with context management?

Techniques like maintaining conversation history, using context-aware models, and employing memory networks can help.

Are there specific tools or frameworks you recommend?

Yes, tools like Rasa, Dialogflow, and Microsoft Bot Framework are great for building context-aware chatbots.