{"id":"https://openalex.org/W4406458719","doi":"https://doi.org/10.1109/bigdata62323.2024.10825603","title":"Informed Named Entity Recognition Decoding for Generative Language Models","display_name":"Informed Named Entity Recognition Decoding for Generative Language Models","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458719","doi":"https://doi.org/10.1109/bigdata62323.2024.10825603"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","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/A5003368121","display_name":"Tobias Deu\u00dfer","orcid":"https://orcid.org/0000-0003-4685-0847"},"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"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Deu\u00dfer","raw_affiliation_strings":["University of Bonn,Bonn,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Bonn,Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081939611","display_name":"Lars Hillebrand","orcid":"https://orcid.org/0000-0002-5496-4177"},"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":"Lars Hillebrand","raw_affiliation_strings":["Fraunhofer IAIS,Sankt Augustin,Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Sankt Augustin,Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003875445","display_name":"Christian Bauckhage","orcid":"https://orcid.org/0000-0001-6615-2128"},"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Bauckhage","raw_affiliation_strings":["University of Bonn,Bonn,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Bonn,Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafet Sifa","raw_affiliation_strings":["University of Bonn,Bonn,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Bonn,Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003368121"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":null,"apc_paid":null,"fwci":1.4566,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85986552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6001","last_page":"6010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T11719","display_name":"Data Quality and Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7739025950431824},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7679622173309326},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7217541337013245},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5856860876083374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5291545391082764},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.424453467130661},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4201590418815613},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39857470989227295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07471710443496704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739025950431824},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7679622173309326},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7217541337013245},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5856860876083374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5291545391082764},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.424453467130661},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4201590418815613},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39857470989227295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07471710443496704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/482945","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/482945","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":null,"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":60,"referenced_works":["https://openalex.org/W1623072288","https://openalex.org/W2016589492","https://openalex.org/W2047782770","https://openalex.org/W2068882115","https://openalex.org/W2123556395","https://openalex.org/W2144578941","https://openalex.org/W2163918411","https://openalex.org/W2169099542","https://openalex.org/W2911489562","https://openalex.org/W2971039193","https://openalex.org/W2998098272","https://openalex.org/W3104415840","https://openalex.org/W3153427360","https://openalex.org/W3154813414","https://openalex.org/W3168867926","https://openalex.org/W3173727191","https://openalex.org/W3175225269","https://openalex.org/W3176489198","https://openalex.org/W3177312484","https://openalex.org/W4244662812","https://openalex.org/W4287854681","https://openalex.org/W4292793781","https://openalex.org/W4309952073","https://openalex.org/W4313007903","https://openalex.org/W4317905944","https://openalex.org/W4321649220","https://openalex.org/W4322718191","https://openalex.org/W4362515116","https://openalex.org/W4366735603","https://openalex.org/W4382202604","https://openalex.org/W4382202800","https://openalex.org/W4384918448","https://openalex.org/W4385014449","https://openalex.org/W4385571570","https://openalex.org/W4385573907","https://openalex.org/W4389326242","https://openalex.org/W4392669753","https://openalex.org/W4393147100","https://openalex.org/W6663102891","https://openalex.org/W6675366379","https://openalex.org/W6681624536","https://openalex.org/W6744918768","https://openalex.org/W6747435310","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6778883912","https://openalex.org/W6788199761","https://openalex.org/W6796581206","https://openalex.org/W6838461927","https://openalex.org/W6839582719","https://openalex.org/W6847330989","https://openalex.org/W6850623703","https://openalex.org/W6850625674","https://openalex.org/W6851775633","https://openalex.org/W6851819690","https://openalex.org/W6852016728","https://openalex.org/W6854866820","https://openalex.org/W6854874810","https://openalex.org/W6859298233","https://openalex.org/W6860710830"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Ever-larger":[0],"language":[1,68,123],"models":[2,74,124],"with":[3,139],"ever-increasing":[4],"capabilities":[5,70],"are":[6,22,31],"by":[7,26],"now":[8],"well-established":[9],"text":[10,94],"processing":[11],"tools.":[12],"Alas,":[13],"information":[14,90],"extraction":[15,91],"tasks":[16],"such":[17],"as":[18,29,61],"named":[19,58,113,127],"entity":[20,59,114,128,142],"recognition":[21,60,129],"still":[23],"largely":[24],"unaffected":[25],"this":[27],"progress":[28],"they":[30],"primarily":[32],"based":[33],"on":[34,110,125],"the":[35,67,86,146,149],"previous":[36],"generation":[37],"of":[38,71,89,104,148],"encoder-only":[39],"transformer":[40],"models.":[41],"Here,":[42],"we":[43],"propose":[44],"a":[45,62,76,111],"simple":[46],"yet":[47],"effective":[48],"approach,":[49],"Informed":[50],"Named":[51],"Entity":[52],"Recognition":[53],"Decoding":[54],"(iNERD),":[55],"which":[56],"treats":[57],"generative":[63,73,122],"process.":[64],"It":[65],"leverages":[66],"understanding":[69],"recent":[72],"in":[75,136],"future-proof":[77],"manner":[78],"and":[79,98,100,131],"employs":[80],"an":[81,137,140],"informed":[82],"decoding":[83],"scheme":[84],"incorporating":[85],"restricted":[87],"nature":[88],"into":[92],"open-ended":[93],"generation,":[95],"improving":[96],"performance":[97],"efficiency":[99],"eliminating":[101],"any":[102],"risk":[103],"hallucinations.":[105],"We":[106],"coarse-tune":[107],"our":[108],"model":[109],"merged":[112],"corpus":[115],"to":[116],"strengthen":[117],"its":[118],"performance,":[119],"evaluate":[120],"five":[121],"eight":[126],"datasets,":[130],"achieve":[132],"remarkable":[133],"results,":[134],"especially":[135],"environment":[138],"unknown":[141],"class":[143],"set,":[144],"demonstrating":[145],"adaptability":[147],"approach.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
