Graph alignment for cross-domain text-to-sql

Author: tadr

August undefined, 2024

WebIt is a graph in which each vertex corresponds to a sequence segment, and each edge indicates an ungapped alignment between the connected vertices, or more precisely … WebNov 1, 2024 · Focusing on the above two key issues, we propose a Structure-Aware Dual Graph Aggregation Network (SADGA) for cross-domain Text-to-SQL. In SADGA, we adopt the graph structure to provide a unified encoding model for both the natural language question and database schema.

Structure-Grounded Pretraining for Text-to-SQL - arXiv

WebApr 15, 2024 · Download Citation On Apr 15, 2024, Yadong Liu and others published Graph Alignment for Cross-Domain Text-to-SQL Find, read and cite all the research … WebDec 23, 2024 · Combined with a pointer-generator decoder with schema-consistency driven search space pruning, BRIDGE attained state-of-the-art performance on popular cross-DB text-to-SQL benchmarks, Spider... citrus county chronicle subscription services

(PDF) Bridging Textual and Tabular Data for Cross …

Webdepth study on the role of schema linking in text-to-SQL parsing. Intuitively, schema linking helps both cross-domain generalizability and complex SQL generation, which have been identiﬁed as the cur-rent bottlenecks of the text-to-SQL task (Finegan-Dollak et al.,2024;Yu et al.,2024c). By cross-domain generalizability, we refer to the proper WebApr 18, 2024 · SyntaxSQLNet (Yu et al., 2024b) is the first and state-of-the-art model for the Spider (Yu et al., 2024c), a complex and cross-domain text-to-SQL task.They proposed a SQL specific syntax tree-based decoder with SQL generation history. They developed 9 modules for different SQL components and generated SQL tokens sequentially by … WebJun 17, 2024 · This work presents a unified framework, based on the relation-aware self-attention mechanism, to address schema encoding, schema linking, and feature representation within a text-to-SQL encoder and achieves the new state-of-the-art performance on the Spider leaderboard. Expand 249 Highly Influential PDF citrus county chronicle employment

SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL

Spider: Yale Semantic Parsing and Text-to-SQL Challenge

WebJun 17, 2024 · In this work, we focus on two crucial components in the cross-domain text-to-SQL semantic parsing task: schema linking and value filling. To encourage the model to learn better encoding ability, we propose a column selection auxiliary task to empower the encoder with the relevance matching capability by using explicit learning targets. WebWikiSQL: The numbers of SQL queries and tables are significantly large. But all SQL queries are simple, and each database is only a simple table without any foreign key. Spider 1.0 spans the largest area in the chart, making it the first complex and cross-domain semantic parsing and text-to-SQL dataset! Read more on the blog post. citrus county civil courtWebWe propose a Graph Alignment for cross-domain Text-to-SQL (GASQL) to provide a method that unified encodes the natural language utterance and the database schema. … citrus county chronicle online newspaper

"Webet al.(2024b) present Spider, a cross-database text-to-SQL benchmark that trains and evaluates a system using different databases. More recently, Suhr et al.(2024) provide a holistic analysis of the challenges introduced in cross-database text-to-SQL and propose to include single-domain datasets in evaluation. Their study uncovers the " - Graph alignment for cross-domain text-to-sql

Graph alignment for cross-domain text-to-sql

End-to-End Cross-Domain Text-to-SQL Semantic Parsing with …

WebApr 15, 2024 · A Graph Alignment for cross-domain Text-to-SQL (GASQL) is proposed to provide a method that unified encodes the natural language utterance and the database … WebOne of the major challenges in text-to-SQL parsing is do-main generalization, i.e. , how to generalize well to un-seen databases. Recently, the pretrained text-to-text trans-former model, namely T5, though not specialized for text-to-SQL parsing, has achieved state-of-the-art performance on standard benchmarks targeting domain generalization. In

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WebJan 1, 2024 · IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation. Conference Paper. Jan 2024. Cai Yitao. Xiaojun … WebApr 7, 2024 · In this paper, we propose a new cross-domain learning scheme to perform text-to-SQL translation and demonstrate its use on Spider, a large-scale cross-domain text-to-SQL data set. We improve upon a state-of-the-art Spider model, SyntaxSQLNet, …

WebApr 18, 2024 · Most deep learning approaches for text-to-SQL generation are limited to the WikiSQL dataset, which only supports very simple queries over a single table. We focus on the Spider dataset, a complex and cross-domain text-to-SQL task, which includes complex queries over multiple tables. In this paper, we propose a SQL clause-wise decoding … WebAug 2, 2024 · 2. EditSQL. EditSQL focusses on the cross-domain context-dependent text-to-SQL task. The authors exploit the fact that adjacent natural language questions are …

WebYujian Gan, Matthew Purver, and John R. Woodward. 2024. A Review of Cross-Domain Text-to-SQL Models. In Proceedings of the 1st … WebJan 18, 2024 · Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. no code yet • 18 Jan 2024. Recently, the pre-trained text-to-text transformer model, namely T5, …

WebCross-domain alignment between two sets of entities (e.g., objects in an image, words in a sentence) is fundamental to both computer vision and natural language processing.Existing methods mainly focus on designing advanced attention mechanisms to simulate soft alignment, with no training signals to explicitly encourage alignment. The learned …

WebText-to-SQL, the task of translating the natural language utterance into SQL, has attracted much attention recently. Under the cross-domain setting, the traditional semantic parse … dick seaman norfolkWebApr 7, 2024 · Abstract We present a neural approach called IRNet for complex and cross-domain Text-to-SQL. IRNet aims to address two challenges: 1) the mismatch between intents expressed in natural … dicks dumbbell rackWebtinctively during the graph iteration. We also design an auxiliary task called graph pruning to improve the discriminative capability of the encoder. Our framework achieves state-of-the-art results (62:8% with GLOVE, 72:0% with ELECTRA) on the cross-domain text-to-SQL benchmark Spider at the time of writing. 1 Introduction citrus county chronicle subscription dealsWebJan 1, 2024 · It is a challenge to generate SQL queries in a cross-domain setting, such as the case of the WikiSQL (Zhong et al., 2024) and Spider (Yu et al., 2024b) benchmarks. SyntaxSQLNet (Yu et al.,... dicks eagles gearWebJul 13, 2024 · Abstract. Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a … citrus county clerk of court holidaysWebOct 31, 2024 · Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing Conference Paper Jan 2024 Ben Bogin Jonathan Berant Matt Gardner View Spider: A Large-Scale Human-Labeled... citrus county circuit courtWebAug 8, 2024 · [4] presents a unified framework to address schema encoding, linking, and feature representation within a text-to-SQL encoder. [5] encodes the database schema … citrus county clerk of court pay ticket