Мәтіннен SQL-ге

task ID: texttosql

Related Papers

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractOne key component in text-to-SQL is to predict the comparison relations between columns and their values. To the best of our knowledge, no existing models explicitly introduce external common knowledge …...

9159

“What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions. Though significant progress in this area has been made recently, …...

29945

A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractSemantic parsing is an important NLP task. However, Vietnamese is a low-resource language in this research area. In this paper, we present the first public large-scale Text-to-SQL semantic parsing dataset …...

32118

An Imitation Game for Learning Semantic Parsers from User Interaction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractDespite the widely successful applications, bootstrapping and fine-tuning semantic parsers are still a tedious process with challenges such as costly data annotation and privacy risks. In this paper, we suggest …...

29947

SQL Generation via Machine Reading Comprehension

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractText-to-SQL systems offers natural language interfaces to databases, which can automatically generates SQL queries given natural language questions. On the WikiSQL benchmark, state-of- the-art text-to-SQL systems typically take a slot-filling …...

4318

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Recently, Text-to-SQL for multi-turn dialogue has attracted great interest. Here, the user input of the current turn is parsed into the corresponding SQL query of the appropriate database, given all …...

33920

Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractRecently, there has been significant progress in studying neural networks for translating text descriptions into SQL queries under the zero-shot cross-domain setting. Despite achieving good performance on some public benchmarks, …...

31003

LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThis work aims to tackle the challenging heterogeneous graph encoding problem in the text-to-SQL task. Previous methods are typically node-centric and merely utilize different weight matrices to parameterize edge types, …...

8683

ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractGiven a database schema, Text-to-SQL aims to translate a natural language question into the corresponding SQL query. Under the setup of cross-domain, traditional semantic parsing models struggle to adapt to …...

21333

Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMost attempts on Text-to-SQL task using encoder-decoder approach show a big problem of dramatic decline in performance for new databases. For the popular Spider dataset, despite models achieving 70% accuracy …...

5080

HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecently, context-dependent text-to-SQL semantic parsing which translates natural language into SQL in an interaction process has attracted a lot of attentions. Previous works leverage context dependence information either from interaction …...

32566

Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractText-to-SQL has attracted attention from both the natural language processing and database communities because of its ability to convert the semantics in natural language into SQL queries and its practical …...

5026

S2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThe task of converting a natural language question into an executable SQL query, known as text-to-SQL, is an important branch of semantic parsing. The state-of-the-art graph-based encoder has been successfully …...

32812

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper studies a new task of federated learning (FL) for semantic parsing, where multiple clients collaboratively train one global model without sharing their semantic parsing data. By leveraging data …...

37938

Uncovering and Categorizing Social Biases in Text-to-SQL

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractLarge pre-trained language models are acknowledged to carry social bias towards different demographics, which can further amplify existing stereotypes in our society and cause even more harm. Text-to-SQL is an …...

37798