Graph alignment for cross-domain text-to-sql

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August undefined, 2024

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 … 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.

Photon: A Robust Cross-Domain Text-to-SQL System

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. 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 … sharp pain in lower back left side above hip

[PDF] End-to-End Cross-Domain Text-to-SQL Semantic Parsing …

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. 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 WebJul 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 … sharp pain in lower left gut

Conversational BI: Text to SQL - Towards Data Science

Graph alignment for cross-domain text-to-sql

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

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, …

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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 … 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...

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 … 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, …

WebAbstract WikiSQL and Spider, the large-scale cross-domain text-to-SQL datasets, have attracted much attention from the research community. The leaderboards of WikiSQL and Spider show that many researchers … 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. …

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 …

WebText-To-SQL. 90 papers with code • 5 benchmarks • 10 datasets. Text-to-SQL is a task in natural language processing (NLP) where the goal is to automatically generate SQL queries from natural language text. The … sharp pain in lower pelvic areaWebNov 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. porotherm x therm 30 árWebJan 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.,... sharp pain in lower back while bendingWebJun 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 … poroton ehingenWebIf 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, … poroton fertighausWebJul 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... poroti tavern whangareiWebdepth 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 poroton s10 30