{"id":"https://openalex.org/W4391094766","doi":"https://doi.org/10.1109/bigdata59044.2023.10386499","title":"Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules","display_name":"Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094766","doi":"https://doi.org/10.1109/bigdata59044.2023.10386499"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054556600","display_name":"Maren Pielka","orcid":"https://orcid.org/0000-0001-9610-6026"},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maren Pielka","raw_affiliation_strings":["Fraunhofer IAIS,Sankt Augustin,Germany","Fraunhofer IAIS, Sankt Augustin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Sankt Augustin,Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"Fraunhofer IAIS, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002535347","display_name":"Svetlana Schmidt","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Svetlana Schmidt","raw_affiliation_strings":["Fraunhofer IAIS,Sankt Augustin,Germany","Fraunhofer IAIS, Sankt Augustin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Sankt Augustin,Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"Fraunhofer IAIS, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064201630","display_name":"Rafet Sifa","orcid":"https://orcid.org/0009-0004-6680-8210"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafet Sifa","raw_affiliation_strings":["Fraunhofer IAIS,Sankt Augustin,Germany","Fraunhofer IAIS, Sankt Augustin, Germany","University of Bonn, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Sankt Augustin,Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"Fraunhofer IAIS, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6516,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71339449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4684","last_page":"4692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T12031","display_name":"Speech and dialogue systems","score":0.991599977016449,"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/contradiction","display_name":"Contradiction","score":0.8377429246902466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8180123567581177},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6742002964019775},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.6099122166633606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5998021960258484},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5917930603027344},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5625311732292175},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5593861937522888},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.5471401214599609},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5327164530754089},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41060441732406616},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41032034158706665},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33614015579223633},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16520869731903076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10631456971168518}],"concepts":[{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.8377429246902466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180123567581177},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6742002964019775},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.6099122166633606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5998021960258484},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5917930603027344},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5625311732292175},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5593861937522888},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.5471401214599609},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5327164530754089},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41060441732406616},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41032034158706665},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33614015579223633},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16520869731903076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10631456971168518},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:null:publica/464502","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/464502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W2121678312","https://openalex.org/W2896457183","https://openalex.org/W4281483293","https://openalex.org/W4317905944","https://openalex.org/W4327644079","https://openalex.org/W4360764532","https://openalex.org/W4385572634","https://openalex.org/W6755207826","https://openalex.org/W6778883912","https://openalex.org/W6783340080"],"related_works":["https://openalex.org/W2103953657","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W2024526779","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071"],"abstract_inverted_index":{"We":[0,104],"introduce":[1],"a":[2,29,137],"novel":[3],"data":[4,135],"generation":[5],"method":[6],"for":[7,36],"contradiction":[8,65,80],"detection,":[9],"which":[10],"leverages":[11],"the":[12,52,69,119],"generative":[13,53],"power":[14],"of":[15,32,63,114,118,133],"large":[16],"language":[17,44],"models":[18,54],"as":[19,21,40,42,95,123,125],"well":[20,41,124],"linguistic":[22,38,88],"rules.":[23],"Our":[24],"vision":[25],"is":[26,71],"to":[27,55,61,74,90,130],"provide":[28],"condensed":[30],"corpus":[31],"prototypical":[33],"contradictions,":[34],"allowing":[35],"in-depth":[37],"analysis":[39],"efficient":[43],"model":[45,70],"fine-tuning.":[46],"To":[47],"this":[48,134],"end,":[49],"we":[50,86],"instruct":[51],"create":[56],"contradicting":[57],"statements":[58],"with":[59,77],"respect":[60],"descriptions":[62],"specific":[64],"types.":[66],"In":[67],"addition,":[68],"also":[72],"instructed":[73],"come":[75],"up":[76],"completely":[78],"new":[79],"typologies.":[81],"As":[82],"an":[83],"auxiliary":[84],"approach,":[85],"use":[87,132],"rules":[89],"construct":[91],"simple":[92],"contradictions":[93],"such":[94],"those":[96],"arising":[97],"from":[98],"negation,":[99],"antonymy":[100],"and":[101,116],"numeric":[102],"mismatch.":[103],"find":[105],"that":[106],"our":[107],"methods":[108],"yield":[109],"promising":[110],"results":[111],"in":[112,136],"terms":[113],"coherence":[115],"variety":[117],"data.":[120],"Further":[121],"studies,":[122],"manual":[126],"refinement":[127],"are":[128],"necessary":[129],"make":[131],"machine":[138],"learning":[139],"setup.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}