Results 41 to 50 of about 9,267 (223)

Design a Software Engineering CASE Tool (ERToOracle10g) to transform a graphical Entity Relationship model (ER model) to Oracle10g [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2011
CASE Tools play a significant role in the field of software engineering development processes where they are utilized in system modeling and analysis, in system design and in generating automatic software codes based on system design models.
Nada Saleem, Saad Th.
doaj   +1 more source

Zero-Shot Text-to-SQL Learning with Auxiliary Task

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Recent years have seen great success in the use of neural seq2seq models on the text-to-SQL task. However, little work has paid attention to how these models generalize to realistic unseen data, which naturally raises a question: does this impressive performance signify a perfect generalization model, or are there still some limitations?In this paper ...
Chang, Shuaichen, Liu, Pengfei, Tang, Yun, Huang, Jing, He, Xiaodong, Zhou, Bowen   +5 more
openaire   +3 more sources

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing

, 2022
Text-to-SQL semantic parsing is an important NLP task, which greatly facilitates the interaction between users and the database and becomes the key component in many human-computer interaction systems.
Che, Wanxiang, Dou, Longxu, Gao, Yan, Lou, Jian-Guang, Pan, Mingyang, Wang, Dingzirui, Zhan, Dechen   +6 more
core   +1 more source

Text-to-SQL Method Based on Relation-aware Graph Neural Network [PDF]

Jisuanji gongcheng
Text-to-SQL semantic parsing task aims to transform natural language problems into executable SQL statements. In recent years, many researchers have applied methods such as pre-training models to this task and have made some progress.
CAO Yukun, WANG Tianhao, LI Yunfeng, CHEN Ming, LI Jingjing, LIU Yuanmin
doaj   +1 more source

A Review of NLIDB With Deep Learning: Findings, Challenges and Open Issues

IEEE Access, 2022
Relational databases are storage for a massive amount of data. Knowledge of structured query language is a prior requirement to access that data. That is not possible for all non-technical personals, leading to the need for a system that translates text ...
Shanza Abbas, Muhammad Umair Khan, Scott Uk-Jin Lee, Asad Abbas, Ali Kashif Bashir   +4 more
doaj   +1 more source

Integrating Question Answering and Text-to-SQL in Portuguese

, 2022
Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techniques; here we propose, build and validate an architecture that integrates different modules to answer two distinct kinds of queries.
Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman   +3 more
openaire   +2 more sources

Hybrid Ranking Network for Text-to-SQL

, 2020
In this paper, we study how to leverage pre-trained language models in Text-to-SQL. We argue that previous approaches under utilize the base language models by concatenating all columns together with the NL question and feeding them into the base language model in the encoding stage.
Lyu, Qin, Chakrabarti, Kaushik, Hathi, Shobhit, Kundu, Souvik, Zhang, Jianwen, Chen, Zheng   +5 more
openaire   +2 more sources

Error Detection for Text-to-SQL Semantic Parsing

Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
EMNLP 2023 (Findings); Updated with new experiment ...
Chen, Shijie, Chen, Ziru, Sun, Huan, Su, Yu   +3 more
openaire   +2 more sources

Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases

, 2019
A critical challenge in constructing a natural language interface to database (NLIDB) is bridging the semantic gap between a natural language query (NLQ) and the underlying data. Two specific ways this challenge exhibits itself is through keyword mapping
Baik, Christopher, Jagadish, H. V., Li, Yunyao   +2 more
core   +1 more source

Force stimulation promotes nerve regeneration by restoring cellular energy

BMEMat, EarlyView.
Mechanical stimulation can help nerves regenerate in various ways. We developed two devices (a piezo‐motor‐driven stretching device and a SAW‐based actuator) to apply mechanical stimulation to sciatic nerve and DRG neurons. Our study shows that appropriate mechanical force stimulation can promote regeneration by restoring the energy supply to the ...
Zhe Wang, Chen Cai, Hetao Xie, Yupeng Yang, Lei Li, Nik Ahmad Nizam Nik Malek, Wan Hairul Anuar Kamaruddin, Meiwan Chen, Yuanhua Sang, Bing Ji, Zenan Wang   +10 more
wiley   +1 more source