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Natural Language Interfaces to Databases

Yunyao Li, Dragomir Radev, Davood Rafiei (Broschiert, Englisch)

Optischer Zustand
Beschreibung
This book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making. After first demonstrating the importance of the field using an interactive ChatGPT session, the book explores the remarkable progress and general challenges faced with real-world deployment of NLIDBs. It goes on to provide readers with a holistic understanding of the intricate anatomy, essential components, and mechanisms underlying NLIDBs and how to build them. Key concepts in representing, querying, and processing structured data as well as approaches for optimizing user queries are established for the reader before their application in NLIDBs is explored. The book discusses text to data through early relevant work on semantic parsing and meaning representation before turning to cutting-edge advancements in how NLIDBs are empowered to comprehend and interpret human languages. Various evaluation methodologies, metrics, datasets and benchmarks that play a pivotal role in assessing the effectiveness of mapping natural language queries to formal queries in a database and the overall performance of a system are explored. The book then covers data to text, where formal representations of structured data are transformed into coherent and contextually relevant human-readable narratives. It closes with an exploration of the challenges and opportunities related to interactivity and its corresponding techniques for each dimension, such as instances of conversational NLIDBs and multi-modal NLIDBs where user input is beyond natural language. This book provides a balanced mixture of theoretical insights, practical knowledge, and real-world applications that will be an invaluable resource for researchers, practitioners, and students eager to explore the fundamental concepts of NLIDBs.
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Technische Daten


Erscheinungsdatum
08.12.2024
Sprache
Englisch
EAN
9783031450457
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Synthesis Lectures on Data Management
Sonderedition
Nein
Autor
Yunyao Li, Dragomir Radev, Davood Rafiei
Seitenanzahl
236
Einbandart
Broschiert
Autorenporträt
Yunyao Li is the Head of Machine Learning at Apple Knowledge Platform. Until early 2022, she was a Distinguished Research Staff Member and Senior Research Manager at IBM Research - Almaden. She was also a Master Inventor and a member of IBM Academy of Technology. She is an ACM Distinguished Member and a member of the inaugural New Voices program of the American National Academies. Her expertise is at the intersection of natural language processing, databases, human-computer interaction, machine learning, and information retrieval. Her contributions in these areas have led to over 100 research publications with multiple awards, 36 patents granted, multiple graduate-level courses (including 2 Massive Open Online Courses), and billions in revenue generated from technology transfer. Yunyao pioneered some of the landmark work on NLIDB, including NaLIX, the first conversational NLIDB for XML. She is the co-author of
Schlagwörter
Natural Language Interfaces to Databases, NLIDB, Text to Data, Data to Text, Query Models
Thema-Inhalt
UN - Datenbanken UYZ - Mensch-Computer-Interaktion UYQL - Natürliche Sprachen und maschinelle Übersetzung UNH - Informationsrückgewinnung, Information Retrieval UND - Data Warehousing UYA - Theoretische Informatik
Höhe
240 mm
Breite
16.8 cm

Transparenz & Sicherheit

Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com

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