Graph alignment for cross-domain text-to-sql

Author: iswn

August undefined, 2024

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 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 …

Graph Alignment for Cross-Domain Text-to-SQL

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 … 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 … popular music to dance to

Conversational BI: Text to SQL - Towards Data Science

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 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 … 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 … shark murcia music

Graph Alignment for Cross-Domain Text-to-SQL

Graph Enhanced Cross-Domain Text-to- SQL Generation

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... 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 … popular music with no wordsWebNov 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 … shark muscle anatomy

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

Graph alignment for cross-domain text-to-sql

RYANSQL: Recursively Applying Sketch-based Slot Fillings for …

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. 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 …

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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 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...

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, … 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 …

WebYujian Gan, Matthew Purver, and John R. Woodward. 2024. A Review of Cross-Domain Text-to-SQL Models. In Proceedings of the 1st … 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 …

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 …

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 shark musicalWebJul 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... shark musclesWebJun 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. popular music of the 1990sWebJun 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 … popular mustard yellow handbagsWeb2016). 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- popular music used in commercials shark music downloaderWebApr 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. shark museum westerly ri