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Graph alignment for cross-domain text-to-sql

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 … 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 …

Text-To-SQL Papers With Code

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 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, … ophthalmologist constantia kloof https://frenchtouchupholstery.com

[2006.14744] Graph Optimal Transport for Cross-Domain …

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- 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. 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 … ophthalmologist chester va

Text2SQL — Part 4: State-Of-The-Art Models - Medium

Category:Graph Enhanced Cross-Domain Text-to- SQL Generation

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Graph alignment for cross-domain text-to-sql

Graph Alignment for Cross-Domain Text-to-SQL

WebAug 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 … 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

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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 … 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

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 … WebWe 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. …

WebJun 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 … 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.

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... ophthalmologist corner brook nlWebet 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 portfolio monitoring officerWebJan 1, 2024 · IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation. Conference Paper. Jan 2024. Cai Yitao. Xiaojun … ophthalmologist chester njWebJan 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.,... ophthalmologist cedar rapids iowaWebJul 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... ophthalmologist cypress txophthalmologist clinicWebJan 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. … ophthalmologist clear lake tx