Service-oriented Text-to-SQL Parsing
The information retrieval from relational database requires professionals who has an understanding of structural query language such as SQL. TEXT2SQL models apply natural language inference to enable user interacting the database via natural language utterance. Current TEXT2SQL models normally focus on generating complex SQL query in a precise and complete fashion while certain features of real-world application in the production environment is not fully addressed. This paper is aimed to develop a service-oriented Text-to-SQL parser that translates natural language utterance to structural and executable SQL query. We introduce a algorithmic framework named Semantic-Enriched SQL generator (SE-SQL) that enables flexibly access database than rigid API in the application while keeping the performance quality for the most commonly used cases. The qualitative result shows that the proposed model achieves 88.3{\%} execution accuracy on WikiSQL task, outperforming baseline by 13{\%} error reduction. Moreover, the framework considers several service-oriented needs including low-complexity inference, out-of-table rejection, and text normalization.
Code (0)
등록된 구현이 없습니다.
Tasks
Information RetrievalNatural Language InferenceRetrievalSQL ParsingText NormalizationText to SQLText-To-SQLSimilar Papers 제목 키워드 기반
Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing
Deep learning methods have enabled task-oriented semantic parsing of increasingly complex utterances. However, a single model is still typically trained and deployed for each task separately, requiring labeled training d…
Semantic ParsingData Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams
Large language models (LLMs) excel at generating code from natural language (NL) descriptions. However, the plain textual descriptions are inherently ambiguous and often fail to capture complex requirements like intricat…
Mathematical ReasoningCode GenerationConversational Semantic Parsing
The structured representation for semantic parsing in task-oriented assistant systems is geared towards simple understanding of one-turn queries. Due to the limitations of the representation, the session-based properties…
dialog state trackingSemantic ParsingImproving Semantic Parsing for Task Oriented Dialog
Semantic parsing using hierarchical representations has recently been proposed for task oriented dialog with promising results [Gupta et al 2018]. In this paper, we present three different improvements to the model: cont…
Language ModelingLanguage ModellingRe-RankingSemantic ParsingSemantic Parsing for Task Oriented Dialog using Hierarchical Representations
Task oriented dialog systems typically first parse user utterances to semantic frames comprised of intents and slots. Previous work on task oriented intent and slot-filling work has been restricted to one intent per quer…
Constituency ParsingSemantic Parsingslot-fillingSlot Filling