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Text-To-Sql

17 papers with code · Computer Code

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Latest papers without code

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

17 May 2020

Recent years have witnessed the burgeoning of pretrained language models (LMs) for text-based natural language (NL) understanding tasks.

SEMANTIC PARSING TEXT-TO-SQL

Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback

5 May 2020

We study the task of semantic parse correction with natural language feedback.

SEMANTIC PARSING TEXT-TO-SQL

RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases

7 Apr 2020

Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given.

SLOT FILLING TEXT-TO-SQL

Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-ranker

3 Feb 2020

We demonstrate the effectiveness of the re-ranker by applying it to two state-of-the-art text-to-SQL models, and achieve top 4 score on the Spider leaderboard at the time of writing this article.

TEXT-TO-SQL

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

ICLR 2020

In addition, we observe qualitative improvements in the model’s understanding of schema linking and alignment.

SEMANTIC PARSING TEXT-TO-SQL

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

ICLR 2020

The generalization challenge lies in (a) encoding the database relations in an accessible way for the semantic parser, and (b) modeling alignment between database columns and their mentions in a given query.

SEMANTIC PARSING TEXT-TO-SQL

Graph Enhanced Cross-Domain Text-to-SQL Generation

WS 2019

Semantic parsing is a fundamental problem in natural language understanding, as it involves the mapping of natural language to structured forms such as executable queries or logic-like knowledge representations.

NATURAL LANGUAGE UNDERSTANDING SEMANTIC PARSING TEXT-TO-SQL

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

IJCNLP 2019

One key component in text-to-SQL is to predict the comparison relations between columns and their values.

TEXT-TO-SQL

A Pilot Study for Chinese SQL Semantic Parsing

IJCNLP 2019

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

QUESTION ANSWERING SEMANTIC PARSING TEXT-TO-SQL WORD EMBEDDINGS