Graph alignment for cross-domain text-to-sql

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. 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 …

Re-examining the Role of Schema Linking in Text-to-SQL

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... 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. … tru motel lake city fl https://ishinemarine.com

Cross-domain recommendation via user interest alignment

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 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 … 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 … trumotion physical therapy

Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text …

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

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Graph alignment for cross-domain text-to-sql

Graph optimal transport for cross-domain alignment

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 … 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 …

Graph alignment for cross-domain text-to-sql

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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 … 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...

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 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

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, … 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.

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 …

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 … tru motors raleighWebWikiSQL: 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. trumove chiropractic wellnessWebText-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 … trumove services pvt ltdWebApr 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 … trumotion physical therapy eatontown njWebJun 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. philippine earthquake mapnes todayWebJan 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, … trumount hospitaltrumount cosmoceuticals pvt ltd