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A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

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arxiv 2105.11644 v1 pith:3VI7HRVP submitted 2021-05-25 cs.CL

Yunshi Lan , Gaole He , Jinhao Jiang , Jing Jiang , Wayne Xin Zhao , Ji-Rong Wen This is my paper · ORCID
classification cs.CL
keywords methodskbqabasechallengescomplexknowledgequestionsolutions
verification ladder T0 review T1 audit T2 compute T3 formal
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Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin with introducing the background about the KBQA task. Next, we present the two mainstream categories of methods for complex KBQA, namely semantic parsing-based (SP-based) methods and information retrieval-based (IR-based) methods. We then review the advanced methods comprehensively from the perspective of the two categories. Specifically, we explicate their solutions to the typical challenges. Finally, we conclude and discuss some promising directions for future research.

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Cited by 3 Pith papers

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  1. Temporal Information Retrieval via Time-Specifier Model Merging

    cs.IR 2025-07 conditional novelty 6.0 of 10

    TSM trains one retriever per time specifier and merges them by parameter averaging, improving temporal retrieval while maintaining non-temporal retrieval.

  2. Identifying Origins of Place Names via Retrieval Augmented Generation

    cs.IR 2025-08 conditional novelty 5.0 of 10

    A RAG pipeline using ColBERTv2 and Llama2 retrieves Melbourne street-name origins from DBpedia, but language models under-use spatial context, limiting top-1 accuracy.

  3. Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE

    cs.AI 2025-09 reject novelty 4.0 of 10

    KG-SMILE applies perturbation and linear regression to a knowledge graph to attribute which entities and relations drive a GraphRAG system's answers.

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