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Titlebook: Natural Language Interfaces to Databases; Yunyao Li,Dragomir Radev,Davood Rafiei Book 2024 The Editor(s) (if applicable) and The Author(s)

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978-3-031-45045-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Building an NLIDB: The Basics,and approaches to be introduced in the rest of the book. We first describe an example database and example input questions against the database in Sect. .. We then introduce the common architecture of a baseline NLIDB before introducing terminologies to be used throughout the rest of the book (Sect.
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Text to Data,g and meaning representation before moving to newer approaches that utilize word embedding, semantic compositionality, knowledge graph, and large language models. Three key topics are covered in depth: (1) converting sentences to structured form, (2) neural semantic parsing, and (3) recent text-to-S
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Data-to-Text,e database. The query evaluated on a database returns the answer in a structured representation, such as a table in a relational database or a graph in a graph database. The full cycle of natural language interfaces to databases is not complete without mapping this structured data to natural languag
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Interactivity,ions of interactivity, present the corresponding techniques to support each dimension in detail, and discuss their benefits and corresponding challenges. We first focus on interactivity at query time and discuss methods for query disambiguation and query suggestions. We then switch focus to interact
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design for correctness or for performance. Designing a functionally correct system, or a performance constrained system is fundamentally different in the sense that such design requires us to build models and to systematically refine models towards implementation such that correctness is preserved b
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