{"id":"https://openalex.org/W4412888624","doi":"https://doi.org/10.18653/v1/2025.findings-acl.272","title":"From Phrases to Subgraphs: Fine-Grained Semantic Parsing for Knowledge Graph Question Answering","display_name":"From Phrases to Subgraphs: Fine-Grained Semantic Parsing for Knowledge Graph Question Answering","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888624","doi":"https://doi.org/10.18653/v1/2025.findings-acl.272"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.272","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.272","pdf_url":"https://aclanthology.org/2025.findings-acl.272.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: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.272.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082442045","display_name":"Yurun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurun Song","raw_affiliation_strings":["School of Computer Science and Engineering , Nanjing University of Science and Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Nanjing University of Science and Technology , China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028086891","display_name":"Xiangqing Shen","orcid":"https://orcid.org/0000-0002-9825-7853"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqing Shen","raw_affiliation_strings":["School of Computer Science and Engineering , Nanjing University of Science and Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Nanjing University of Science and Technology , China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605550","display_name":"Rui Xia","orcid":"https://orcid.org/0000-0002-5614-640X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xia","raw_affiliation_strings":["School of Computer Science and Engineering , Nanjing University of Science and Technology , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Nanjing University of Science and Technology , China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":6.6921,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96959505,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5232","last_page":"5246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9940999746322632,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9940999746322632,"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/T10028","display_name":"Topic Modeling","score":0.9923999905586243,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.8212516903877258},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7866333723068237},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7287561893463135},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6322371363639832},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.61514812707901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373176336288452},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46204397082328796},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4301115870475769},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12019592523574829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212516903877258},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7866333723068237},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7287561893463135},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6322371363639832},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.61514812707901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373176336288452},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46204397082328796},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4301115870475769},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12019592523574829}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.272","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.272","pdf_url":"https://aclanthology.org/2025.findings-acl.272.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: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.272","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.272","pdf_url":"https://aclanthology.org/2025.findings-acl.272.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: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888624.pdf","grobid_xml":"https://content.openalex.org/works/W4412888624.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W1502858101","https://openalex.org/W4401140950"],"abstract_inverted_index":{"The":[0],"recent":[1],"emergence":[2],"of":[3,87,98,136],"large":[4],"language":[5,45],"models":[6],"(LLMs)":[7],"has":[8],"brought":[9],"new":[10],"opportunities":[11],"to":[12,47,102,124],"knowledge":[13,116],"graph":[14,39,117],"question":[15],"answering":[16],"(KGQA),":[17],"but":[18],"also":[19],"introduces":[20],"challenges":[21],"such":[22],"as":[23],"semantic":[24,111],"misalignment":[25],"and":[26,56,92,96,115,122],"reasoning":[27,64],"noise.Semantic":[28],"parsing":[29],"(SP),":[30],"previously":[31],"a":[32,70,80,139],"mainstream":[33],"approach":[34,108],"for":[35,76],"KGQA,":[36],"enables":[37],"precise":[38],"pattern":[40],"matching":[41],"by":[42],"mapping":[43,82],"natural":[44],"queries":[46],"executable":[48],"logical":[49],"forms.However,":[50],"it":[51],"faces":[52],"limitations":[53],"in":[54],"scalability":[55],"generalization,":[57],"especially":[58],"when":[59],"dealing":[60],"with":[61,138],"complex,":[62],"multi-hop":[63,152],"tasks.In":[65],"this":[66],"work,":[67],"we":[68],"propose":[69],"Fine-Grained":[71],"Semantic":[72],"Parsing":[73],"(FGSP)":[74],"framework":[75,78],"KGQA.Our":[77],"constructs":[79],"fine-grained":[81],"library":[83],"via":[84],"phrase-level":[85],"segmentation":[86],"historical":[88],"question-logical":[89],"form":[90],"pairs,":[91],"performs":[93],"online":[94],"retrieval":[95],"fusion":[97],"relevant":[99],"subgraph":[100],"fragments":[101],"answer":[103],"complex":[104,151],"queries.This":[105],"fine-grained,":[106],"compositional":[107],"ensures":[109],"tighter":[110],"alignment":[112],"between":[113],"questions":[114],"structures,":[118],"enhancing":[119],"both":[120],"interpretability":[121],"adaptability":[123],"diverse":[125],"query":[126],"types.Experimental":[127],"results":[128],"on":[129,149],"two":[130],"KGQA":[131],"benchmarks":[132],"demonstrate":[133],"the":[134,147,150],"effectiveness":[135],"FGSP,":[137],"notable":[140],"18.5%":[141],"relative":[142],"F1":[143],"performance":[144],"improvement":[145],"over":[146],"SOTA":[148],"CWQ":[153],"dataset.Our":[154],"code":[155],"is":[156],"available":[157],"at":[158],"https://github.com/NUSTM/":[159]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}