Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database

Understand

Parsing natural language questions into executable logical forms is a useful and interpretable way to perform question answering on structured data such as knowledge bases (KB) or databases (DB).

• However, existing approaches on semantic parsing cannot adapt to both modalities, as they suffer from the exponential growth of the logical form candidates and can hardly generalize to unseen data.
• In this work, we propose Uni-Parser, a unified semantic parser for question answering (QA) on both KB and DB.
• We introduce the primitive (relation and entity in KB, and table name, column name and cell value in DB) as an essential element in our framework.