Results 11 to 20 of about 8,163 (222)
TCSR‐SQL: Towards Table Content‐Aware Text‐to‐SQL With Self‐Retrieval
CAAI Transactions on Intelligence TechnologyABSTRACT Large language model‐based (LLM‐based) text‐to‐SQL methods have achieved important progress in generating SQL queries for real‐world applications. When confronted with table content‐aware questions in real‐world scenarios, ambiguous data content keywords and nonexistent database schema column names within
Wenbo Xu +7 more
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Service-oriented Text-to-SQL Parsing [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 The information retrieval from relational database requires professionals who has an understanding of structural query language such as SQL. TEXT2SQL models apply natural language inference to enable user interacting the database via natural language utterance.
Wangsu Hu, Jilei Tian
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mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer [PDF]
, 2021 The translation of natural language questions to SQL queries has attracted growing attention, in particular in connection with transformers and similar language models. A large number of techniques are geared towards the English language; in this work, we thus investigated translation to SQL when input questions are given in the Portuguese language. To
Marcelo Archanjo José +1 more
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PAUQ: Text-to-SQL in Russian [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Daria Bakshandaeva +4 more
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Ezsql: An Sql Intermediate Representation for Improving Sql-to-Text Generation
Expert Systems with ApplicationsThe SQL-to-text generation task traditionally uses template base, Seq2Seq, tree-to-sequence, and graph-to-sequence models. Recent models take advantage of pre-trained generative language models for this task in the Seq2Seq framework. However, treating SQL as a sequence of inputs to the pre-trained models is not optimal.
Meher Bhardwaj +2 more
openalex +3 more sources
JMIR Medical Informatics, 2021 BackgroundElectronic medical records (EMRs) are usually stored in relational databases that require SQL queries to retrieve information of interest. Effectively completing such queries can be a challenging task for medical experts
Youcheng Pan +7 more
doaj +1 more source
DIR: A Large-Scale Dialogue Rewrite Dataset for Cross-Domain Conversational Text-to-SQL
Applied Sciences, 2023 Semantic co-reference and ellipsis always lead to information deficiency when parsing natural language utterances with SQL in a multi-turn dialogue (i.e., conversational text-to-SQL task).
Jieyu Li +6 more
doaj +1 more source
Relation-Aware Graph Transformer for SQL-to-Text Generation
Applied Sciences, 2021 Generating natural language descriptions for structured representation (e.g., a graph) is an important yet challenging task. In this work, we focus on SQL-to-text, a task that maps a SQL query into the corresponding natural language question.
Da Ma +5 more
doaj +1 more source
Features requirement elicitation process for designing a chatbot application
IET Networks, EarlyView., 2022 This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari +4 more
wiley +1 more source
Decoupling SQL Query Hardness Parsing for Text-to-SQL
, 2023 10 pages, 3 ...
Yi, Jiawen, Chen, Guo
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