{"id":"https://openalex.org/W4402351627","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651056","title":"5W1H Extraction With Large Language Models","display_name":"5W1H Extraction With Large Language Models","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351627","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651056"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5115595793","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0003-3111-5751"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108982258","display_name":"Yangsong Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangsong Lan","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113373638","display_name":"Feiyan Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyan Zhai","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061435467","display_name":"Piji Li","orcid":"https://orcid.org/0000-0003-1474-3692"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Piji Li","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence,College of Computer Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115595793"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":1.4548,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84875986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9836000204086304,"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":0.633033037185669},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5145506262779236},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5051127076148987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3946838974952698},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0611819326877594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633033037185669},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5145506262779236},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5051127076148987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3946838974952698},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0611819326877594},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322438","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W5274612","https://openalex.org/W182458216","https://openalex.org/W1836005856","https://openalex.org/W2101105183","https://openalex.org/W2154652894","https://openalex.org/W2791442904","https://openalex.org/W2804801821","https://openalex.org/W2807608807","https://openalex.org/W2888482885","https://openalex.org/W2952437275","https://openalex.org/W2962924852","https://openalex.org/W2963929190","https://openalex.org/W2970597249","https://openalex.org/W3013919939","https://openalex.org/W3158986179","https://openalex.org/W3168867926","https://openalex.org/W3174770825","https://openalex.org/W4221143046","https://openalex.org/W4226278401","https://openalex.org/W4230682643","https://openalex.org/W4284668476","https://openalex.org/W4286987939","https://openalex.org/W4322718191","https://openalex.org/W4366999773","https://openalex.org/W4378509449","https://openalex.org/W4386185326","https://openalex.org/W4389524430","https://openalex.org/W4396571402","https://openalex.org/W6638586583","https://openalex.org/W6682631176","https://openalex.org/W6763701032","https://openalex.org/W6767456304","https://openalex.org/W6785406856","https://openalex.org/W6795224213","https://openalex.org/W6796581206","https://openalex.org/W6800875267","https://openalex.org/W6809646742","https://openalex.org/W6810738896","https://openalex.org/W6850625674","https://openalex.org/W6852622455","https://openalex.org/W6853251322","https://openalex.org/W6855748715","https://openalex.org/W6903044789"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,25,75,149],"extraction":[1,21,78,96,143],"of":[2,27,77,90,100,156,169,196],"essential":[3],"news":[4,59,122,147],"elements":[5],"through":[6,42],"the":[7,88,94,98,145,154,157,167,175,181,187,194],"5W1H":[8,95,116,141,197],"framework":[9],"(What,":[10],"When,":[11],"Where,":[12],"Why,":[13,72],"Who,":[14],"and":[15,22,61,73],"How)":[16],"is":[17,80,164],"critical":[18],"for":[19,93,193],"event":[20],"text":[23],"summarization.":[24],"advent":[26],"Large":[28],"language":[29],"models":[30,47,159,185],"(LLMs)":[31],"such":[32,91],"as":[33],"Chat-GPT":[34],"presents":[35],"an":[36],"opportunity":[37],"to":[38,136,139,166],"address":[39,108],"language-related":[40],"tasks":[41,79],"simple":[43],"prompts":[44],"without":[45],"fine-tuning":[46,101,138],"with":[48],"much":[49],"time.":[50],"While":[51],"ChatGPT":[52],"has":[53],"encountered":[54],"challenges":[55],"in":[56,65],"processing":[57],"longer":[58],"texts":[60],"analyzing":[62],"specific":[63],"attributes":[64],"context,":[66],"especially":[67],"answering":[68],"questions":[69],"about":[70],"What,":[71],"How.":[74],"effectiveness":[76],"notably":[81],"dependent":[82],"on":[83,104,119,160,186],"high-quality":[84,115],"human-annotated":[85],"datasets.":[86],"However,":[87],"absence":[89],"datasets":[92],"increases":[97],"difficulty":[99],"strategies":[102,132],"based":[103,118],"open-source":[105],"LLMs.":[106],"To":[107],"these":[109],"limitations,":[110],"first,":[111],"we":[112,129,172],"annotate":[113],"a":[114],"dataset":[117,163],"four":[120],"typical":[121],"corpora":[123],"(CNN/DailyMail,":[124],"XSum,":[125],"NYT,":[126],"RA-MDS);":[127],"second,":[128],"design":[130],"several":[131],"from":[133,144],"zero-shot/few-shot":[134],"prompting":[135],"efficient":[137],"conduct":[140],"aspects":[142],"original":[146],"documents.":[148],"experimental":[150],"results":[151],"demonstrate":[152],"that":[153],"performance":[155,168],"fine-tuned":[158],"our":[161],"labelled":[162],"superior":[165],"ChatGPT.":[170],"Furthermore,":[171],"also":[173],"explore":[174],"domain":[176,189],"adaptation":[177],"capability":[178],"by":[179],"testing":[180],"source-domain":[182],"(e.g.":[183,191],"NYT)":[184],"target":[188],"corpus":[190],"CNN/DailyMail)":[192],"task":[195],"extraction.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
