Papers › SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases

SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases

31 Mar 2020arXiv:2003.13956archive 2025-07-28

Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu

Semantic parsing transforms a natural language question into a formal query over a knowledge base. Many existing methods rely on syntactic parsing like dependencies. However, the accuracy of producing such expressive formalisms is not satisfying on long complex questions. In this paper, we propose a novel skeleton grammar to represent the high-level structure of a complex question. This dedicated coarse-grained formalism with a BERT-based parsing algorithm helps to improve the accuracy of the downstream fine-grained semantic parsing. Besides, to align the structure of a question with the structure of a knowledge base, our multi-strategy method combines sentence-level and word-level semantics. Our approach shows promising performance on several datasets.

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findPath nju-websoft/SPARQA/code/common_structs/find_path.py official repository unverified MIT (permissive) · a14a18b3b64cf58c · report
get_args nju-websoft/SPARQA/code/common/globals_args.py official repository unverified MIT (permissive) · 0681c15b3b982808 · report
get_gold_entity_or_class nju-websoft/SPARQA/code/common/utils.py official repository unverified MIT (permissive) · dfcbed3d1e891f85 · report
get_gold_entity_or_class_by_json nju-websoft/SPARQA/code/common/utils.py official repository unverified MIT (permissive) · 70615211dd730b38 · report
get_labels_from_lca nju-websoft/SPARQA/code/common_structs/find_path.py official repository unverified MIT (permissive) · 1b12bbb3ef40478d · report
get_lca_length nju-websoft/SPARQA/code/common_structs/find_path.py official repository unverified MIT (permissive) · 75d19bb288601604 · report
get_nid_by_id nju-websoft/SPARQA/code/common/utils.py official repository unverified MIT (permissive) · 0f36a93246e54f11 · report

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Semantic ParsingSentence

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