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Text-To-Sql

17 papers with code · Computer Code

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An Imitation Game for Learning Semantic Parsers from User Interaction

2 May 2020sunlab-osu/MISP

Despite 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.

IMITATION LEARNING TEXT-TO-SQL

22
02 May 2020

Byte-Pair Encoding for Text-to-SQL Generation

20 Oct 2019SamuelGabriel/sqlbpe

In this work, we adapt BPE for text-to-SQL generation.

MACHINE TRANSLATION TEXT-TO-SQL

7
20 Oct 2019

Content Enhanced BERT-based Text-to-SQL Generation

16 Oct 2019guotong1988/NL2SQL-RULE

We present a simple methods to leverage the table content for the BERT-based model to solve the text-to-SQL problem.

SEMANTIC PARSING TEXT-TO-SQL

52
16 Oct 2019

Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study

IJCNLP 2019 LittleYUYU/Interactive-Semantic-Parsing

As a promising paradigm, interactive semantic parsing has shown to improve both semantic parsing accuracy and user confidence in the results.

SEMANTIC PARSING TEXT-TO-SQL

22
11 Oct 2019

A Pilot Study for Chinese SQL Semantic Parsing

IJCNLP 2019 taolusi/chisp

The task of semantic parsing is highly useful for dialogue and question answering systems.

QUESTION ANSWERING SEMANTIC PARSING TEXT-TO-SQL WORD EMBEDDINGS

57
29 Sep 2019

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

IJCNLP 2019 ryanzhumich/sparc_atis_pytorch

We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems.

DIALOGUE STATE TRACKING TEXT-TO-SQL

6
11 Sep 2019

Text-to-SQL Generation for Question Answering on Electronic Medical Records

28 Jul 2019wangpinggl/TREQS

In this paper, we tackle these challenges by developing a deep learning based TRanslate-Edit Model for Question-to-SQL (TREQS) generation, which adapts the widely used sequence-to-sequence model to directly generate the SQL query for a given question, and further performs the required edits using an attentive-copying mechanism and task-specific look-up tables.

INFORMATION RETRIEVAL QUESTION ANSWERING TEXT-TO-SQL

7
28 Jul 2019

Using Database Rule for Weak Supervised Text-to-SQL Generation

1 Jul 2019guotong1988/Rule-SQL

We present a simple way to do the task of text-to-SQL problem with weak supervision.

TEXT-TO-SQL

11
01 Jul 2019

Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers

27 Jun 2019rshin/seq2struct

When translating natural language questions into SQL queries to answer questions from a database, we would like our methods to generalize to domains and database schemas outside of the training set.

TEXT-TO-SQL

15
27 Jun 2019

SParC: Cross-Domain Semantic Parsing in Context

ACL 2019 ryanzhumich/sparc_atis_pytorch

The best model obtains an exact match accuracy of 20. 2% over all questions and less than10% over all interaction sequences, indicating that the cross-domain setting and the con-textual phenomena of the dataset present significant challenges for future research.

SEMANTIC PARSING TEXT-TO-SQL

6
05 Jun 2019