{"id":"https://openalex.org/W4412795790","doi":"https://doi.org/10.1109/tnnls.2025.3588525","title":"AQE-RF: An Adaptive Quantifier Extension and Rule-Filtering Graph Network for Logical Reasoning of Text","display_name":"AQE-RF: An Adaptive Quantifier Extension and Rule-Filtering Graph Network for Logical Reasoning of Text","publication_year":2025,"publication_date":"2025-07-31","ids":{"openalex":"https://openalex.org/W4412795790","doi":"https://doi.org/10.1109/tnnls.2025.3588525","pmid":"https://pubmed.ncbi.nlm.nih.gov/40742873"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3588525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3588525","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/files/649675504/WangEtalIEEETNNLS2025AQE-RF.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100377142","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-2540-9991"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2540-9991","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598712","display_name":"Jinshuo Liu","orcid":"https://orcid.org/0000-0002-2374-485X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshuo Liu","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2374-485X","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060245641","display_name":"V\u00edctor Guti\u00e9rrez-Basulto","orcid":"https://orcid.org/0000-0002-6117-5459"},"institutions":[{"id":"https://openalex.org/I97429440","display_name":"University of Wales","ror":"https://ror.org/01se4f844","country_code":"GB","type":"education","lineage":["https://openalex.org/I97429440"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"V\u00edctor Guti\u00e9rrez-Basulto","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, Wales, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6117-5459","affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, Wales, U.K","institution_ids":["https://openalex.org/I97429440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056155495","display_name":"Lina Wang","orcid":"https://orcid.org/0000-0001-8085-1312"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8085-1312","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066422711","display_name":"Jeff Z. Pan","orcid":"https://orcid.org/0000-0002-9779-2088"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeff Z. Pan","raw_affiliation_strings":["School of Informatics, The University of Edinburgh, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9779-2088","affiliations":[{"raw_affiliation_string":"School of Informatics, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08966126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"10","first_page":"18517","last_page":"18529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9796000123023987,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9796000123023987,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.967199981212616,"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":0.9462000131607056,"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/quantifier","display_name":"Quantifier (linguistics)","score":0.7252272963523865},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6687822341918945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5494675636291504},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5401654839515686},{"id":"https://openalex.org/keywords/quantifier-elimination","display_name":"Quantifier elimination","score":0.47836416959762573},{"id":"https://openalex.org/keywords/logical-reasoning","display_name":"Logical reasoning","score":0.4199996292591095},{"id":"https://openalex.org/keywords/deductive-reasoning","display_name":"Deductive reasoning","score":0.41602444648742676},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4155861437320709},{"id":"https://openalex.org/keywords/logical-analysis","display_name":"Logical analysis","score":0.4118267893791199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37971481680870056},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.34044963121414185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28151631355285645},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2374289631843567},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09336760640144348}],"concepts":[{"id":"https://openalex.org/C2778523021","wikidata":"https://www.wikidata.org/wiki/Q5532504","display_name":"Quantifier (linguistics)","level":2,"score":0.7252272963523865},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6687822341918945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5494675636291504},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5401654839515686},{"id":"https://openalex.org/C32278780","wikidata":"https://www.wikidata.org/wiki/Q1849020","display_name":"Quantifier elimination","level":2,"score":0.47836416959762573},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.4199996292591095},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.41602444648742676},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4155861437320709},{"id":"https://openalex.org/C2983390893","wikidata":"https://www.wikidata.org/wiki/Q1092582","display_name":"Logical analysis","level":3,"score":0.4118267893791199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37971481680870056},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34044963121414185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28151631355285645},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2374289631843567},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09336760640144348},{"id":"https://openalex.org/C6260981","wikidata":"https://www.wikidata.org/wiki/Q745328","display_name":"Mathematical statistics","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2025.3588525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3588525","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40742873","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40742873","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:https://orca.cardiff.ac.uk:180453","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/e857a151-6e61-49e3-996a-338cd5c91ab7","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/e857a151-6e61-49e3-996a-338cd5c91ab7","pdf_url":"https://www.research.ed.ac.uk/files/649675504/WangEtalIEEETNNLS2025AQE-RF.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, M, Liu, J, Gutierrez-Basulto, V, Wang, L & Pan, J Z 2025, 'AQE-RF : An adaptive quantifier extension and rule-filtering graph network for logical reasoning of text', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 10, pp. 18517-18529. https://doi.org/10.1109/TNNLS.2025.3588525","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/e857a151-6e61-49e3-996a-338cd5c91ab7","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/e857a151-6e61-49e3-996a-338cd5c91ab7","pdf_url":"https://www.research.ed.ac.uk/files/649675504/WangEtalIEEETNNLS2025AQE-RF.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, M, Liu, J, Gutierrez-Basulto, V, Wang, L & Pan, J Z 2025, 'AQE-RF : An adaptive quantifier extension and rule-filtering graph network for logical reasoning of text', IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 10, pp. 18517-18529. https://doi.org/10.1109/TNNLS.2025.3588525","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5750797987","display_name":null,"funder_award_id":"2020YFA0607902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8286278548","display_name":null,"funder_award_id":"62372334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G842030476","display_name":null,"funder_award_id":"2023YFB3106900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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/W4412795790.pdf","grobid_xml":"https://content.openalex.org/works/W4412795790.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2606964149","https://openalex.org/W2963339397","https://openalex.org/W2963748441","https://openalex.org/W2970780738","https://openalex.org/W2979826702","https://openalex.org/W3034457116","https://openalex.org/W3163322517","https://openalex.org/W3171446474","https://openalex.org/W4221154651","https://openalex.org/W4285254610","https://openalex.org/W4287854706","https://openalex.org/W4287887938","https://openalex.org/W4296840690","https://openalex.org/W4385571738","https://openalex.org/W4389518758","https://openalex.org/W4389518764","https://openalex.org/W4389519248","https://openalex.org/W4402671211","https://openalex.org/W4402671544","https://openalex.org/W4403127722","https://openalex.org/W4411119912","https://openalex.org/W4414359351"],"related_works":["https://openalex.org/W4214737172","https://openalex.org/W3012938552","https://openalex.org/W2324712051","https://openalex.org/W2798639752","https://openalex.org/W1550311267","https://openalex.org/W4287825236","https://openalex.org/W1524103539","https://openalex.org/W1239946963","https://openalex.org/W1973527399","https://openalex.org/W71729059"],"abstract_inverted_index":{"Logical":[0],"reasoning":[1,14,26,70,110],"of":[2,28,193],"text":[3,146],"requires":[4],"neural":[5,40,50],"models":[6,31],"to":[7,16,58,82,103,136,173],"possess":[8],"strong":[9],"contextual":[10],"comprehension":[11],"and":[12,43,63,76,85,116,132,150,169,185,191],"logical":[13,25,93,147],"ability":[15],"draw":[17],"conclusions":[18],"from":[19,78],"limited":[20],"information.":[21],"To":[22],"improve":[23],"the":[24,182,189],"capabilities":[27],"pretrained":[29],"language":[30,45],"(PLMs),":[32],"existing":[33],"approaches":[34,100],"can":[35],"be":[36],"broadly":[37],"categorized":[38],"into":[39],"architecture-based":[41],"methods":[42,51],"large":[44],"model":[46,125],"(LLM)-driven":[47],"strategies.":[48],"While":[49],"struggle":[52],"with":[53],"fine-grained":[54,145],"logic":[55,115],"that":[56],"fails":[57],"capture":[59],"detailed":[60],"semantic":[61],"roles":[62],"constraints,":[64],"LLM-driven":[65],"approaches,":[66],"despite":[67],"generating":[68],"multistep":[69],"sequences,":[71],"lack":[72],"explicit":[73],"inference":[74,177],"control":[75],"suffer":[77],"error":[79],"accumulation":[80],"due":[81],"their":[83],"implicit":[84],"stochastic":[86],"nature.":[87],"Some":[88],"works":[89],"have":[90],"tried":[91],"using":[92,166],"expressions,":[94],"like":[95],"first-order":[96,114],"logic,":[97],"but":[98],"these":[99],"often":[101],"fail":[102],"handle":[104],"quantifiers":[105],"systematically":[106],"or":[107],"support":[108],"clear":[109],"processes.":[111],"Inspired":[112],"by":[113],"generalized":[117],"quantifier":[118,130],"(GQ)":[119],"theory,":[120],"we":[121],"propose":[122],"AQE-RF,":[123],"a":[124,144],"based":[126,155],"on":[127,156,181],"an":[128],"adaptive":[129],"extension":[131],"rule-filtering":[133],"graph":[134,148],"network":[135],"address":[137],"this":[138],"challenge.":[139],"The":[140,159],"first":[141],"component":[142,161],"constructs":[143],"(FTLG)":[149],"then":[151],"performs":[152,162],"GQ":[153],"instantiation":[154],"option":[157],"attention.":[158],"second":[160],"rule-filtered":[163],"deductive":[164],"reasoning,":[165],"conflict":[167],"scores":[168],"dynamic":[170],"programming":[171],"(DP)":[172],"select":[174],"coherent,":[175],"interpretable":[176],"paths.":[178],"Extensive":[179],"experiments":[180],"LogiQA,":[183],"ReClor,":[184],"AR-LSAT":[186],"datasets":[187],"demonstrate":[188],"effectiveness":[190],"robustness":[192],"AQE-RF.":[194]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}