Learning to Map English User Queries to Graph-Based Query Languages via Semantic ParsingGearhart, Noah GraphQLNatural Language ProcessingSemantic ParsingT5Transformer Neural NetworksSQLComputer ScienceB SSemantic parsing is the process of mapping language input to some formal meaning. Due to its prevalence in industry and usefulness of modeling real-world data, most existing research addresses semantic parsing to structured query language (SQL). However, many other applications of semantic parsing exist to other areas outside of SQL. In this paper, we attempt to apply the techniques of semantic parsing to SQL to a modern graph-based language, GraphQL. GraphQL can model relational data, enabling models to train using existing relational datasets with simple modification. We transform the extensive Spider dataset and apply a basic semantic parsing model to determine that this technique is possible. This approach can be generalized to other query languages provided that a comparable dataset exists.Rui Zhang, Thesis SupervisorJohn Joseph Hannan, Thesis Honors Advisoropen_access2022-04-13T17:10:27Zhttps://honors.libraries.psu.edu/catalog/7839nlg29