{"id":"https://openalex.org/W4385485673","doi":"https://doi.org/10.1145/3594315.3594363","title":"A Method for Extracting Documents for Theft Crime Based on Deep Learning","display_name":"A Method for Extracting Documents for Theft Crime Based on Deep Learning","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4385485673","doi":"https://doi.org/10.1145/3594315.3594363"},"language":"en","primary_location":{"id":"doi:10.1145/3594315.3594363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","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/A5102785385","display_name":"Yilin Guo","orcid":"https://orcid.org/0009-0004-8669-6367"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Guo","raw_affiliation_strings":["Maynooth International Engineering College, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0009-0004-8669-6367","affiliations":[{"raw_affiliation_string":"Maynooth International Engineering College, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101668283","display_name":"Xing Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Lin","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0009-0007-6861-8033","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040927683","display_name":"Xianghan Zheng","orcid":"https://orcid.org/0000-0001-8047-3059"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghan Zheng","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0000-0001-8047-3059","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045838819","display_name":"Yujian Gan","orcid":"https://orcid.org/0009-0001-4388-960X"},"institutions":[{"id":"https://openalex.org/I4210125270","display_name":"Fujian Provincial People's Hospital","ror":"https://ror.org/038thw008","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfang Gan","raw_affiliation_strings":["Fuzhou People's Procuratorate, China"],"raw_orcid":"https://orcid.org/0009-0001-4388-960X","affiliations":[{"raw_affiliation_string":"Fuzhou People's Procuratorate, China","institution_ids":["https://openalex.org/I4210125270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":null,"issue":null,"first_page":"496","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.705988347530365},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6052619218826294},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5895991325378418},{"id":"https://openalex.org/keywords/punishment","display_name":"Punishment (psychology)","score":0.5477383732795715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5438963770866394},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4533504843711853},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.4266166687011719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3874196410179138},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38605210185050964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3255096673965454},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07713395357131958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705988347530365},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6052619218826294},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5895991325378418},{"id":"https://openalex.org/C2779295839","wikidata":"https://www.wikidata.org/wiki/Q3544090","display_name":"Punishment (psychology)","level":2,"score":0.5477383732795715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5438963770866394},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4533504843711853},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.4266166687011719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3874196410179138},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38605210185050964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3255096673965454},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07713395357131958},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594315.3594363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2616627668","https://openalex.org/W4285501642","https://openalex.org/W1808427767","https://openalex.org/W3191787099","https://openalex.org/W3137121595","https://openalex.org/W1993826083","https://openalex.org/W2363708280","https://openalex.org/W2152261956","https://openalex.org/W2039597793","https://openalex.org/W2350551741"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,21,80,118],"assist":[3],"judicial":[4,113],"staff":[5],"in":[6,59,62],"analyzing":[7],"the":[8,11,16,23,27,33,41,50,69,82,86,90,100,112],"sentencing":[9,24],"of":[10,44,68,93,104,128],"case,":[12],"this":[13],"article":[14],"uses":[15],"named":[17,35,51],"entity":[18,36,52],"identification":[19],"approach":[20],"extract":[22,81],"elements":[25],"from":[26,85],"theft":[28,87],"records.":[29,88],"This":[30],"study":[31],"adopts":[32],"BERT":[34],"recognition":[37,53],"approach,":[38],"primarily":[39],"employing":[40],"pre-trained":[42],"model":[43,71],"BERT-WWM-EXT":[45],"and":[46,48,130],"CHINESE,":[47],"extracts":[49],"dataset":[54],"based":[55],"on":[56],"stolen":[57],"papers":[58],"Fuzhou":[60],"City":[61],"recent":[63],"years.":[64],"The":[65],"F1":[66,91],"value":[67,92],"experimental":[70,94],"findings":[72],"was":[73],"70.05%,":[74],"which":[75],"essentially":[76],"made":[77],"it":[78],"possible":[79],"punishment":[83],"components":[84],"However,":[89],"data":[95,122],"is":[96],"also":[97],"lower":[98],"than":[99],"reference":[101],"evaluation":[102],"index":[103],"Chinese":[105],"Machine":[106],"Reading":[107],"Comprehension":[108],"Data":[109],"(CJRC)":[110],"for":[111],"area":[114],"published":[115],"online":[116],"due":[117],"manual":[119],"labeling":[120],"errors,":[121,124],"processing":[123],"a":[125],"small":[126],"number":[127],"datasets,":[129],"machine":[131],"restrictions.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
