Graph alignment for cross-domain text-to-sql

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August undefined, 2024

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 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 …

Graph Alignment for Cross-Domain Text-to-SQL - Details - 西安交 …

WebJan 26, 2024 · Cross-domain recommendation aims to leverage knowledge from multiple domains to alleviate the data sparsity and cold-start problems in traditional recommender systems. One popular paradigm is to employ overlapping user representations to establish domain connections, thereby improving recommendation performance in all scenarios. … WebOct 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... grandview heights community center

[2006.14744] Graph Optimal Transport for Cross-Domain …

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 Webtinctively 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 WebJun 14, 2024 · Our Turing by Borealis AI system is an NLDB, a software system enabling users to interact with databases in natural language, as illustrated in Figure 1. The semantic parsing model powering an NLDB needs to be trained with questions and their corresponding SQL queries. chinese symbol for death

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text …

[2204.12186] Faster and Better Grammar-based Text-to-SQL …

Web2016). In our cross-domain text-to-SQL task, we can directly generate labeled data over unseen DBs as extra training data. The key of data augmen-tation is how to improve the quality of generated data. As two prior works,Yu et al.(2024a) manu-ally align question tokens and DB elements in the corresponding SQL query, in order to obtain rela- WebYujian Gan, Matthew Purver, and John R. Woodward. 2024. A Review of Cross-Domain Text-to-SQL Models. In Proceedings of the 1st … grandview heights community hallWebAug 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 … grandview heights city schools ohio

"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. " - Graph alignment for cross-domain text-to-sql

Graph alignment for cross-domain text-to-sql

[2204.12186] Faster and Better Grammar-based Text-to-SQL …

WebApr 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 … WebJul 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 …

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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 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 …

WebJul 30, 2024 · We present Photon, a robust, modular, cross-domain NLIDB that can flag natural language input to which a SQL mapping cannot be immediately determined. Photon consists of a strong neural... WebApr 26, 2024 · Grammar-based parsers have achieved high performance in the cross-domain text-to-SQL parsing task, but suffer from low decoding efficiency due to the much larger number of actions for grammar selection than that of tokens in SQL queries.

WebIf you clicked a text box, click Text Box on the Format menu. Click the Alignment tab. If you don't see the Alignment tab, click Cancel, click outside of the text you want to format, … 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...

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

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, … chinese symbol for devilWebWe 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. … chinese symbol for family firstWebJun 26, 2024 · In GOT, cross-domain alignment is formulated as a graph matching problem, by representing entities into a dynamically-constructed graph. Two types of OT … grandview heights edmonton real estateWebJun 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. chinese symbol for eastWebAug 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 … chinese symbol for evilWebJul 26, 2024 · Abstract: Most of existing studies on parsing natural language (NL) for constructing structured query language (SQL) do not consider the complex structure of database schema and the gap between NL and SQL query. In this paper, we propose a schema-aware neural network with decomposing architecture, namely HSRNet, which … grandview heights elementary schoolWebCross-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 … chinese symbol for fire