Results 31 to 40 of about 9,267 (223)
Forensic detection of medical image manipulation using PACS and DICOM artifacts. [PDF]
J Forensic SciAbstract With the digitization of medical information, illegal activities such as medical crimes and insurance fraud through tampering have increased. Medical images are particularly vulnerable due to their nature as soft copies and their transmission over networks.
Oh S +5 more
europepmc +2 more sources
Combinatorial Generalization Ability Evaluation Method of SQL-to-text Model [PDF]
Jisuanji gongchengTranslating from Structured Query Language(SQL) to natural language can improve the usability of a database. Some progress is currently being made in this research, which mainly uses machine learning models.
Lin CHEN, Yuankai FAN, Zhenying HE, Xiaoqing LIU, Yang YANG, Lumin TANG
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N-Best Hypotheses Reranking for Text-to-SQL Systems
2022 IEEE Spoken Language Technology Workshop (SLT), 2023 Text-to-SQL task maps natural language utterances to structured queries that can be issued to a database. State-of-the-art (SOTA) systems rely on finetuning large, pre-trained language models in conjunction with constrained decoding applying a SQL parser.
Zeng, Lu +2 more
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Chinese Text-to-SQL Model for Postgraduate Admissions Consultation [PDF]
Jisuanji gongchengPostgraduate admissions consultation is a representative short-term and high-frequency Question-and-Answer (Q&A) application scenario. In response to the problem that the enrollment Q&A system based on the word vector method is not precise enough
WANG Qingfeng, LI Xu, YAO Chunlong, CHENG Tengteng
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Computational Linguistics, 2021 Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to solve complex ...
DongHyun Choi +3 more
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Hypergraph Neural Networks for Cross-domain Text-to-SQL [PDF]
Jisuanji gongchengGraph Neural Network (GNN) have been widely used as encoders in recent years for cross-domain Text-to-SQL. The encoding process based on GNN substantially improves the generalization of generative models under cross-domain Text-to-SQL by capturing the ...
HAO Zhifeng, LI Yanglin, XU Boyan, CAI Ruichu
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Towards Generalizable and Robust Text-to-SQL Parsing
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Text-to-SQL parsing tackles the problem of mapping natural language questions to executable SQL queries. In practice, text-to-SQL parsers often encounter various challenging scenarios, requiring them to be generalizable and robust. While most existing work addresses a particular generalization or robustness challenge, we aim to study it in a more ...
Gao, Chang +7 more
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Research on Technology of Generating Multi-table SQL Query Statement by Natural Language
Jisuanji kexue yu tansuo, 2020 SQL (structured query language) query generation from natural language is not only one of the most important parts of constructing intelligent database query system, but also one of the difficulties in the individualized operation and maintenance of ...
CAO Jinchao, HUANG Tao, CHEN Gang, WU Xiaofan, CHEN Ke
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GEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language Models
Applied Artificial IntelligenceText-to-SQL systems enable users to interact with structured databases using natural language, eliminating the need for specialized programming knowledge.
Hari Mohan Pandey +5 more
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Integrating terminologies into standard SQL: a new approach for research on routine data
Journal of Biomedical Semantics, 2019 Background Most electronic medical records still contain large amounts of free-text data. Semantic evaluation of such data requires the data to be encoded with sufficient classifications or transformed into a knowledge-based database.
André Sander, Roland Wauer
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