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Latest papers with code

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations

15 Apr 2021google-research/language

Sequence-to-sequence (seq2seq) models are prevalent in semantic parsing, but have been found to struggle at out-of-distribution compositional generalization.

SEMANTIC PARSING TEXT-TO-SQL

905
15 Apr 2021

Learning to Synthesize Data for Semantic Parsing

12 Apr 2021berlino/tensor2struct-public

Moreover, explicitly modeling compositions using PCFG leads to a better exploration of unseen programs, thus generate more diverse data.

DOMAIN GENERALIZATION SEMANTIC PARSING SQL PARSING TEXT-TO-SQL

17
12 Apr 2021

An Investigation Between Schema Linking and Text-to-SQL Performance

3 Feb 2021yasufumy/spider-schema-linking-dataset

Text-to-SQL is a crucial task toward developing methods for understanding natural language by computers.

TEXT-TO-SQL

4
03 Feb 2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

5 Jan 2021huybery/r2sql

Semantic parsing has long been a fundamental problem in natural language processing.

SEMANTIC PARSING TEXT-TO-SQL

35
05 Jan 2021

Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing

23 Dec 2020salesforce/TabularSemanticParsing

We present BRIDGE, a powerful sequential architecture for modeling dependencies between natural language questions and relational databases in cross-DB semantic parsing.

DEEP ATTENTION SEMANTIC PARSING TEXT-TO-SQL

85
23 Dec 2020

Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing

9 Dec 2020runzewang/IST-SQL

The dynamic schema-state and SQL-state representations are then utilized to decode the SQL query corresponding to current utterance.

SEMANTIC PARSING TEXT-TO-SQL

1
09 Dec 2020

AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval

20 Nov 2020Leftice/AirConcierge

Despite recent success in neural task-oriented dialogue systems, developing such a real-world system involves accessing large-scale knowledge bases (KBs), which cannot be simply encoded by neural approaches, such as memory network mechanisms.

TASK-ORIENTED DIALOGUE SYSTEMS TEXT-TO-SQL

4
20 Nov 2020

IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation

EMNLP 2020 headacheboy/IGSQL

Our model outperforms previous state-of-the-art model by a large margin and achieves new state-of-the-art results on the two datasets.

TEXT-TO-SQL

12
11 Nov 2020

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

9 Nov 2020microsoft/ContextualSP

In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions.

TEXT-TO-SQL

108
09 Nov 2020

SeqGenSQL -- A Robust Sequence Generation Model for Structured Query Language

7 Nov 2020salesforce/WikiSQL

We explore using T5 (Raffel et al. (2019)) to directly translate natural language questions into SQL statements.

TEXT GENERATION TEXT-TO-SQL

988
07 Nov 2020