Graph alignment for cross-domain text-to-sql
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 … 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 …
Graph alignment for cross-domain text-to-sql
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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 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 …
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 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 …
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. 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...
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.
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... raytheon savings plan loginWebWikiSQL: 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. raytheons biggest productWebIf 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, … raytheon sb500WebText-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 … raytheon savings and investment planWebWe 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. … simplymackbethWebIt 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 … raytheon sbrcWebApr 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 … simply mac lubbock tx