{"id":"https://openalex.org/W7168266675","doi":"https://doi.org/10.1007/978-981-92-3444-8_32","title":"LLM-Driven Data Generation Supporting Document-Level Cybersecurity Event Extraction","display_name":"LLM-Driven Data Generation Supporting Document-Level Cybersecurity Event Extraction","publication_year":2026,"publication_date":"2026-07-14","ids":{"openalex":"https://openalex.org/W7168266675","doi":"https://doi.org/10.1007/978-981-92-3444-8_32"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3444-8_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3444-8_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5140668024","display_name":"Yikai Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yikai Chen","raw_affiliation_strings":["State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140716976","display_name":"Bo Lang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bo Lang","raw_affiliation_strings":["State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140743829","display_name":"Nan Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Xiao","raw_affiliation_strings":["State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140685630","display_name":"Yi Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Wei","raw_affiliation_strings":["State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140720432","display_name":"Ruibo Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruibo Chen","raw_affiliation_strings":["State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Complex & Critical Software Environment, Beijing, 100191, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5140716976"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7865999937057495},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7400000095367432},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.663100004196167},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6284999847412109},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5473999977111816},{"id":"https://openalex.org/keywords/event-data","display_name":"Event data","score":0.532800018787384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9210000038146973},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7865999937057495},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7400000095367432},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.663100004196167},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6284999847412109},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5473999977111816},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.532800018787384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4887999892234802},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4156999886035919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.3276999890804291},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.32330000400543213},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3444-8_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3444-8_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2803884531","https://openalex.org/W2998286882","https://openalex.org/W3171540545","https://openalex.org/W4321794010","https://openalex.org/W4385570582","https://openalex.org/W4385571925","https://openalex.org/W4385572634","https://openalex.org/W4396640480","https://openalex.org/W4401626333","https://openalex.org/W4402672030","https://openalex.org/W4402684073"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-15T05:56:06.668201","created_date":"2026-07-15T00:00:00"}