Nlu

This book highlights the qualitative and quantitative sequential changes in microstructure of P22 steel under various stress and temperature conditions. The P22 alloy is an established material used under elevated temperature and stress for the components of thermal power plants. Temperature and stress levels for laboratory experimentation have been selected based on the true operating condition of a boiler. This book describes both continuous as well as interrupted tests that were performed under given parameters. Subsequently, the microstructures, bulk hardness and NDE parameters (magnetic and non-linear ultrasonic) have been evaluated. For reliable data, the microstructures have been observed at different regions of creep exposed samples by different characterization techniques. This has been further followed by drawing correlation between specific features like precipitate size variation with creep strain / creep time and so on. Given the contents, this book will be a useful reference for researchers and professionals working in the area of materials especially in thermal power plants.

This book highlights the qualitative and quantitative sequential changes in microstructure of P22 steel under various stress and temperature conditions. The P22 alloy is an established material used under elevated temperature and stress for the components of thermal power plants. Temperature and stress levels for laboratory experimentation have been selected based on the true operating condition of a boiler.

Rasa NLU, Rasa Core, Google DialogFlow, Facebook's WIT.AI Talking Chatbot. Rasa Facebook Massenger Chatbot. Build a Bot.

Learn how to build a Python Chatbot in a Professional way. Become an expert in Rasa framework and NLU, from A to Z!

Mastering Conversational AI: Creating Dynamic Chatbots with Python and Rasa Open Source

This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications. First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction.