{"id":"https://openalex.org/W4402353634","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651471","title":"Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models","display_name":"Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353634","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651471"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651471","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651471","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":"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/A5087194118","display_name":"Zonghao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zonghao Yang","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100952479","display_name":"Jintao Yang","orcid":"https://orcid.org/0009-0004-8924-6046"},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Yang","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109885055","display_name":"Yushan Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Tan","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102479483","display_name":"Changhai Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhai Tian","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106619609","display_name":"Junyao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyao Zhou","raw_affiliation_strings":["Hebei University of Engineering,School of Information and Electrical Engineering,Handan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University of Engineering,School of Information and Electrical Engineering,Handan,China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113691072","display_name":"Jun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ma","raw_affiliation_strings":["China Research and Development Academy of Machinery Equipment,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment,Beijing,China","institution_ids":["https://openalex.org/I4210145825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014810546","display_name":"Wenpeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Hu","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101037209","display_name":"Zhunchen Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhunchen Luo","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090419741","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0002-4711-7543"},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Luo","raw_affiliation_strings":["PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China","institution_ids":["https://openalex.org/I4210158522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","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":0.9991999864578247,"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":0.9991999864578247,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9886999726295471,"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":0.9883999824523926,"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":0.810003399848938},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.6709953546524048},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5945199728012085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5899708271026611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5180504322052002},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49546897411346436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4394264221191406},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4296294152736664},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2924208641052246},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12182214856147766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810003399848938},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.6709953546524048},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5945199728012085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5899708271026611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180504322052002},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49546897411346436},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4394264221191406},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4296294152736664},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2924208641052246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12182214856147766},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651471","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651471","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2046491822","https://openalex.org/W2112036188","https://openalex.org/W2138537392","https://openalex.org/W2250999640","https://openalex.org/W2475245295","https://openalex.org/W2964206023","https://openalex.org/W2970641574","https://openalex.org/W2984582583","https://openalex.org/W3035229828","https://openalex.org/W3102925419","https://openalex.org/W3153427360","https://openalex.org/W3170759063","https://openalex.org/W3173777717","https://openalex.org/W3202031169","https://openalex.org/W4205991051","https://openalex.org/W4226278401","https://openalex.org/W4280636077","https://openalex.org/W4285125060","https://openalex.org/W4287019595","https://openalex.org/W4292779060","https://openalex.org/W4295312788","https://openalex.org/W4307079201","https://openalex.org/W4366400290","https://openalex.org/W4385567257","https://openalex.org/W4385573027","https://openalex.org/W6621993037","https://openalex.org/W6684486184","https://openalex.org/W6714112401","https://openalex.org/W6766978945","https://openalex.org/W6778883912","https://openalex.org/W6810313920","https://openalex.org/W6810738896","https://openalex.org/W6847076894","https://openalex.org/W6851895266"],"related_works":["https://openalex.org/W3008380943","https://openalex.org/W2115206405","https://openalex.org/W4387718383","https://openalex.org/W1528986568","https://openalex.org/W2500746363","https://openalex.org/W2062799661","https://openalex.org/W2997567050","https://openalex.org/W2347954438","https://openalex.org/W2071460425","https://openalex.org/W2170067308"],"abstract_inverted_index":{"Event":[0],"argument":[1,100,130,152],"extraction":[2,101,131],"(EAE)":[3],"is":[4,16,89,138,166],"an":[5,95],"important":[6],"and":[7,70],"critical":[8],"task":[9,79,111,153],"in":[10],"natural":[11],"language":[12,40],"processing,":[13],"whose":[14],"goal":[15],"to":[17,51,58,75,108,122,140,148],"transform":[18],"unstructured":[19],"text":[20],"into":[21],"structured":[22],"information.":[23],"However,":[24,56],"previous":[25],"methods":[26,88],"are":[27,67],"costly":[28],"for":[29,72,163],"annotation,":[30],"which":[31],"limits":[32],"their":[33],"application.":[34],"With":[35],"the":[36,53,59,62,64,73,78,82,110,124,128,136,142,146,150,158],"emergence":[37],"of":[38,61,84],"large":[39],"models":[41],"(LLMs),":[42],"many":[43],"approaches":[44],"use":[45],"prompt":[46],"learning":[47,50],"or":[48],"instruction":[49,112,143],"solve":[52],"EAE":[54],"task.":[55,132],"due":[57],"complexity":[60],"EAE,":[63],"defined":[65],"instructions":[66],"often":[68],"abstract":[69],"difficult":[71],"model":[74,147],"accurately":[76],"understand":[77],"objective,":[80],"while":[81,114],"cost":[83],"gradient":[85,119],"propagation":[86],"based":[87,156],"too":[90],"high.":[91],"Therefore,":[92],"we":[93],"propose":[94],"Instruction":[96],"Feature":[97],"Adaptation":[98],"event":[99,129,151],"(IFA)":[102],"that":[103,135],"uses":[104],"very":[105],"few":[106],"shots":[107],"tune":[109],"features,":[113,144],"not":[115],"requiring":[116],"a":[117],"highcost":[118],"optimisation":[120],"method":[121,137],"enhance":[123],"model\u2019s":[125],"performance":[126,162],"on":[127,157],"Experiments":[133],"demonstrate":[134],"able":[139],"optimise":[141],"enabling":[145],"perform":[149],"more":[154],"consistently":[155],"instructions,":[159],"ultimately":[160],"improving":[161],"low-resource.":[164],"Code":[165],"available":[167],"at":[168],"https://github.com/yangzonghao1024/IFA.":[169]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
