{"id":"https://openalex.org/W4416035989","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.141","title":"GRV-KBQA: A Three-Stage Framework for Knowledge Base Question Answering with Decoupled Logical Structure, Semantic Grounding and Structure-Aware Validation","display_name":"GRV-KBQA: A Three-Stage Framework for Knowledge Base Question Answering with Decoupled Logical Structure, Semantic Grounding and Structure-Aware Validation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035989","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.141"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.141","pdf_url":"https://aclanthology.org/2025.findings-emnlp.141.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.141.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087671916","display_name":"Yuhang Tian","orcid":"https://orcid.org/0000-0002-5105-1698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhang Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602975","display_name":"Yang Pan","orcid":"https://orcid.org/0000-0003-4478-0259"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674656","display_name":"Dandan Song","orcid":"https://orcid.org/0000-0002-5050-8211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dandan Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010671966","display_name":"Zhijing Wu","orcid":"https://orcid.org/0000-0003-4015-973X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhijing Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704211","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-3243-487X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89429549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2618","last_page":"2632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.48739999532699585,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.48739999532699585,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.14409999549388885,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.10949999839067459,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.800000011920929},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6323999762535095},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.44429999589920044},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.38999998569488525},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.38940000534057617},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3294000029563904},{"id":"https://openalex.org/keywords/logical-conjunction","display_name":"Logical conjunction","score":0.3248000144958496}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.800000011920929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010999917984009},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6323999762535095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382999777793884},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4489000141620636},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3700000047683716},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C21847791","wikidata":"https://www.wikidata.org/wiki/Q191081","display_name":"Logical conjunction","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.141","pdf_url":"https://aclanthology.org/2025.findings-emnlp.141.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.141","pdf_url":"https://aclanthology.org/2025.findings-emnlp.141.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4134366883","display_name":null,"funder_award_id":"62476025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6875186976","display_name":null,"funder_award_id":"2022YFC3302100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035989.pdf","grobid_xml":"https://content.openalex.org/works/W4416035989.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"Base":[1],"Question":[2],"Answering":[3],"(KBQA)":[4],"is":[5],"a":[6,19,60],"fundamental":[7],"task":[8],"that":[9,63,101],"enables":[10],"natural":[11,20],"language":[12,21],"interaction":[13],"with":[14],"structured":[15],"knowledge":[16],"bases":[17],"(KBs).Given":[18],"question,":[22],"KBQA":[23],"aims":[24],"to":[25,75,85],"retrieve":[26],"the":[27,30,113,116],"answers":[28],"from":[29,45,68],"KB.However,":[31],"existing":[32,107],"approaches,":[33],"including":[34],"retrieval-based,":[35],"semantic":[36,69],"parsing-based":[37],"methods":[38,42],"and":[39,49,71,92,98,121],"large-language":[40],"model-based":[41],"often":[43],"suffer":[44],"generating":[46],"non-executable":[47],"queries":[48],"inefficiencies":[50],"in":[51],"query":[52],"execution.To":[53],"address":[54],"these":[55],"challenges,":[56],"we":[57],"propose":[58],"GRV-KBQA,":[59],"three-stage":[61],"framework":[62],"decouples":[64],"logical":[65,90,118],"structure":[66],"generation":[67,120],"grounding":[70],"incorporates":[72],"structure-aware":[73],"validation":[74,122],"enhance":[76],"accuracy.Unlike":[77],"previous":[78],"methods,":[79],"GRV-KBQA":[80,102],"explicitly":[81],"enforces":[82],"KB":[83,93],"constraints":[84],"improve":[86],"alignment":[87],"between":[88],"generated":[89],"forms":[91],"structures.Experimental":[94],"results":[95],"on":[96],"WebQSP":[97],"CWQ":[99],"show":[100],"significantly":[103],"improves":[104],"performance":[105],"over":[106],"approaches.The":[108],"ablation":[109],"study":[110],"conducted":[111],"confirms":[112],"effectiveness":[114],"of":[115,124],"decoupled":[117],"form":[119],"mechanism":[123],"our":[125],"framework.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}