{"id":"https://openalex.org/W2395585048","doi":null,"title":"Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction","display_name":"Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2395585048","mag":"2395585048"},"language":"en","primary_location":{"id":"mag:2395585048","doi":null,"is_oa":false,"landing_page_url":"http://www.aclclp.org.tw/clclp/v17n4/v17n4a4.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5048089727","display_name":"Wan-Chen Lin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan-Chen Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046477105","display_name":"Tsung-Ting Kuo","orcid":"https://orcid.org/0000-0002-8728-4477","observed_orcids":["https://orcid.org/0000-0002-8728-4477"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsung-Ting Kuo","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8728-4477","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062567455","display_name":"Tung-Jia Chang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tung-Jia Chang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045758385","display_name":"Chueh-An Yen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chueh-An Yen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076924448","display_name":"Chao-Ju Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao-Ju Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087480257","display_name":"Shou-De Lin","orcid":"https://orcid.org/0000-0001-9970-1250","observed_orcids":["https://orcid.org/0000-0001-9970-1250"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shou-De Lin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9970-1250","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.365,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.92393903,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"17","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.00019999999494757503,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/case-classification","display_name":"case classification","score":0.6510000228881836},{"id":"https://openalex.org/keywords/robbery","display_name":"robbery","score":0.7360000014305115},{"id":"https://openalex.org/keywords/intimidation","display_name":"intimidation","score":0.9800000190734863},{"id":"https://openalex.org/keywords/legal-factors","display_name":"legal factors","score":0.8190000057220459},{"id":"https://openalex.org/keywords/document-labeling","display_name":"document labeling","score":0.7160000205039978},{"id":"https://openalex.org/keywords/legal-text-classification","display_name":"legal text classification","score":0.5389999747276306}],"concepts":[{"id":"https://openalex.org/C2781164112","wikidata":"https://www.wikidata.org/wiki/Q3858303","display_name":"Intimidation","level":2,"score":0.8978941440582275},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6411257386207581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6039899587631226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.599013090133667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919268727302551},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.24195101857185364},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.19815358519554138},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1400693655014038}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2395585048","doi":null,"is_oa":false,"landing_page_url":"http://www.aclclp.org.tw/clclp/v17n4/v17n4a4.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.9595999717712402,"id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3124442631"],"related_works":["https://openalex.org/W2394641887","https://openalex.org/W3015695744","https://openalex.org/W3017246378","https://openalex.org/W4384895072","https://openalex.org/W3109563852","https://openalex.org/W2858159822","https://openalex.org/W2980130438","https://openalex.org/W3134450439","https://openalex.org/W4409793719","https://openalex.org/W3061171152"],"abstract_inverted_index":{"This":[0],"paper":[1],"exploits":[2],"machine":[3],"learning":[4],"methods":[5],"to":[6,25],"separate":[7],"robbery":[8,32],"and":[9,12,33,43,62,78],"intimidation":[10,34],"cases,":[11,35],"predicting":[13],"their":[14],"sentencing":[15,44,63,79],"by":[16],"considering":[17],"defined":[18],"legal":[19,28,51,72],"factors.":[20],"We":[21,65],"introduce":[22],"a":[23],"framework":[24],"fetch":[26],"21":[27],"factor":[29,52],"labels":[30,39,53],"of":[31,59,70],"then":[36,66],"use":[37],"the":[38,50,57,68],"for":[40],"case":[41,60,76],"classification":[42,61,77],"prediction.":[45,64],"Our":[46],"experiments":[47],"show":[48],"that":[49],"can":[54],"indeed":[55],"improve":[56],"results":[58],"discuss":[67],"influence":[69],"these":[71],"factors":[73],"in":[74],"both":[75],"prediction":[80],"tasks.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}