Natural Language Understanding for Chatbots

Natural Language Understanding for Chatbots Natural language understanding (NLU) is the core of a good chatbot. It interprets what a user wants and turns that into actions the bot can take. A clear NLU layer makes conversations feel natural and reduces the time a user spends typing. Designers rely on NLU to identify goals, extract details, and decide what to say next. Reliable NLU works across accents, slang, and small typos. ...

September 22, 2025 · 2 min · 386 words

Natural Language Understanding in Chatbots

Natural Language Understanding in Chatbots Natural Language Understanding (NLU) is the part of a chatbot that makes sense of what a user says. It turns words into a plan the bot can act on. Good NLU handles variation in language, tone, and mistakes, so conversations feel natural rather than robotic. What NLU Does NLU splits input into two main pieces: intent and entities. The intent answers “what does the user want?” while entities extract concrete details like dates, places, or quantities. Together they guide the next step in the dialogue. ...

September 21, 2025 · 2 min · 327 words