{"id":"https://openalex.org/W4385392826","doi":"https://doi.org/10.1007/978-981-99-4752-2_63","title":"Chinese Event Extraction with Small-Scale Language Model","display_name":"Chinese Event Extraction with Small-Scale Language Model","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385392826","doi":"https://doi.org/10.1007/978-981-99-4752-2_63"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-99-4752-2_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-4752-2_63","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":"book-chapter","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/A5101474841","display_name":"Quanlin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quanlin Chen","raw_affiliation_strings":["Academy of Military Sciences, Beijing, 100091, China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences, Beijing, 100091, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997384","display_name":"Jun Jia","orcid":"https://orcid.org/0000-0002-5424-4284"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jun Jia","raw_affiliation_strings":["Academy of Military Sciences, Beijing, 100091, China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences, Beijing, 100091, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036521885","display_name":"Shuo Fan","orcid":"https://orcid.org/0009-0009-9831-2742"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuo Fan","raw_affiliation_strings":["Academy of Military Sciences, Beijing, 100091, China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences, Beijing, 100091, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101997384"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66011414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"768","last_page":"779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937000274658203,"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":0.991100013256073,"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":0.8124804496765137},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6353961229324341},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6320958733558655},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5378016829490662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5367622971534729},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.5285284519195557},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.506313681602478},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.48130953311920166},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4490084946155548},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.43620383739471436},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4266379177570343},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.41159072518348694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4042644500732422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124804496765137},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6353961229324341},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6320958733558655},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5378016829490662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5367622971534729},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.5285284519195557},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.506313681602478},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.48130953311920166},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4490084946155548},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.43620383739471436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4266379177570343},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.41159072518348694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4042644500732422},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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:10.1007/978-981-99-4752-2_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-4752-2_63","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":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2046491822","https://openalex.org/W2072628044","https://openalex.org/W2164343063","https://openalex.org/W2250575108","https://openalex.org/W2250999640","https://openalex.org/W2475245295","https://openalex.org/W2512522169","https://openalex.org/W2558287987","https://openalex.org/W3130868440","https://openalex.org/W4206670423","https://openalex.org/W6604397808"],"related_works":["https://openalex.org/W2983785000","https://openalex.org/W4205820553","https://openalex.org/W2359001871","https://openalex.org/W1590308178","https://openalex.org/W159132833","https://openalex.org/W2947903144","https://openalex.org/W3194539120","https://openalex.org/W4378473991","https://openalex.org/W2517141889","https://openalex.org/W3599679"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
