{"product_id":"9783031743634","title":"Natural Language Understanding in Conversational AI with Deep Learning","description":"\u003ch1\u003eNatural Language Understanding in Conversational AI with Deep Learning\u003c\/h1\u003e \u003ch2\u003eHan, Soyeon Caren; Weld, Henry; Li, Yan; Lee, Jean; Poon, Josiah\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\n\n\u003cp\u003eTo this end, the book is structured in seven chapters: \u003cem\u003eIntroduction to Natural Language Understanding\u003c\/em\u003e lays the foundation by tracing the evolution of NLU from early human communication to modern human-computer interactions. \u003cem\u003ePrerequisites and Glossary for Natural Language Understanding\u003c\/em\u003e then serves as a foundational resource, consolidating essential prerequisites and key terminologies relevant across the book. \u003cem\u003eSingle-Turn Natural Language Understanding\u003c\/em\u003e looks at Single-Turn NLU, focusing on tasks that involve interpreting and processing user inputs in a single interaction, while \u003cem\u003eMulti-Turn Natural Language Understanding\u003c\/em\u003e moves on systems for extended interactions with users and explores techniques for managing dialogues, using context and integrating external knowledge bases. Next, \u003cem\u003eEvaluating Natural Language Understanding\u003c\/em\u003e discusses the annotation of datasets and various performance assessment methods, covering different levels of understanding from intent recognition to slot filling and domain classification. \u003cem\u003eApplications and Case Studies in Natural Language Understanding\u003c\/em\u003e subsequently shows real-world applications of NLU in finance, medicine, and law. Eventually \u003cem\u003eChallenges, Conclusions and Future Directions\u003c\/em\u003e 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.\u003c\/p\u003e\n\n\u003cp\u003eThis 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.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-01-12\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031743634\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-74364-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 177\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44804206690444,"sku":"9783031743634","price":116.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031743634.jpg?v=1776095792","url":"https:\/\/lateknightbooks.com\/products\/9783031743634","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}