Jean Lee – författare

Chinese Women Business Leaders - Seven Principles of Leadership includes seven women who represent the characteristics of ShEOs in the wave of Chinese economic reform. Their unique life stories are also reflections of changes in Chinese society. These women have each played a distinctive role In China's rapid emergence. Reform and opening up has brought more opportunities than ever before to Chinese women, though along with these opportunities come some questions and challenges.

The fetters and shackles of tradition have been shattered. A path for self-actualization has opened up. Women in mainland China have experienced great changes, and struggled with conflicts between traditional heritage and modern values. Ever since reform and opening up in 1978, the rapid emergence of women in leadership roles in business has paralleled significant upheavals in the Chinese business landscape.

With a bit of reluctance, Jeffrey listens to his little sister, Jasmine, trying predicament as she gives an account of what happened to her. Jasmine describes her heart rendering incident: losing her grandmother''s pearl necklace which is her secret that she is hiding from her parents. Jeffrey identifies with the feeling of "messing up" gets caught up in his sister''s anguish and despair. He blurts out "ouch" as an emotional release to his sister situation. At first the predicament seems as easy as 1-2-3. Jeffrey probes to find answers to resolve Jasmine''s questions that could have been overlooked. Using deductive reasoning proves to be helpful, but it does not reveal enough clues for solving the problem. Can a cover up be an alternative to his sister''s predicament? Who will take the blame if the cover up is exposed? Will Jeffrey take the blame for Jasmine?

Based on his past history of squandering his allowance, can Jeffrey get his parent''s approval of starting his own business? Will his business aid him in making enough profit to purchase his desired treasure: that special watch?

Jeffrey and Jasmine have dilemmas. They form an alliance to solve their problems to avert getting into hot water with their parents. Discover how Jeffrey and Jasmine maneuver to handle the turning point that is unavoidable. Will the turning point lead to an unexpected surprise?

This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancements, and future of natural language understanding (NLU) in human-computer interactions.

To this end, the book is structured in seven chapters: Introduction to Natural Language Understanding lays the foundation by tracing the evolution of NLU from early human communication to modern human-computer interactions. Prerequisites and Glossary for Natural Language Understanding then serves as a foundational resource, consolidating essential prerequisites and key terminologies relevant across the book. Single-Turn Natural Language Understanding looks at Single-Turn NLU, focusing on tasks that involve interpreting and processing user inputs in a single interaction, while Multi-Turn Natural Language Understanding moves on systems for extended interactions with users and explores techniques for managing dialogues, using context and integrating external knowledge bases. Next, Evaluating Natural Language Understanding discusses the annotation of datasets and various performance assessment methods, covering different levels of understanding from intent recognition to slot filling and domain classification. Applications and Case Studies in Natural Language Understanding subsequently shows real-world applications of NLU in finance, medicine, and law. Eventually Challenges, Conclusions and Future Directions explores the core obstacles hindering the advancement of NLU, including ambiguity, domain adaptation, data scarcity, and ethical concerns. By understanding these challenges, this chapter highlights the ongoing work needed to advance NLU.

This book mainly targets researchers, PhD students, and professionals who are entering this field and look for a state-of-the-art introduction to NLU applied in conversational systems such as chatbots, large language models, or educational systems.