{"id":"https://openalex.org/W4310608680","doi":"https://doi.org/10.1109/ialp57159.2022.9961293","title":"Theft or Felony? Task Augmentation for Criminal Amount Calculation in Judgment Documents","display_name":"Theft or Felony? Task Augmentation for Criminal Amount Calculation in Judgment Documents","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4310608680","doi":"https://doi.org/10.1109/ialp57159.2022.9961293"},"language":"en","primary_location":{"id":"doi:10.1109/ialp57159.2022.9961293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp57159.2022.9961293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Asian Language Processing (IALP)","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/A5100325800","display_name":"Fei Li","orcid":"https://orcid.org/0000-0002-1949-2426"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,ShangHai,China","School of Computer Science and Technology, Donghua University, ShangHai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,ShangHai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, ShangHai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039436033","display_name":"Yanxia Qin","orcid":"https://orcid.org/0000-0002-6186-1651"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yanxia Qin","raw_affiliation_strings":["School of Computing, National University of Singapore,Singapore","School of Computing, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029707367","display_name":"Shoujian Yu","orcid":"https://orcid.org/0000-0002-8092-7556"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoujian Yu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,ShangHai,China","School of Computer Science and Technology, Donghua University, ShangHai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,ShangHai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, ShangHai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26480784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9912999868392944,"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"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9912999868392944,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9613999724388123,"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":0.9269999861717224,"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":0.8193674087524414},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7705954313278198},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6726553440093994},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6376014947891235},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5642818212509155},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.529103696346283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5188602209091187},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47006258368492126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193674087524414},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7705954313278198},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6726553440093994},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6376014947891235},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5642818212509155},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.529103696346283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188602209091187},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47006258368492126},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp57159.2022.9961293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp57159.2022.9961293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"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/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2055243143","https://openalex.org/W2392760275","https://openalex.org/W2083530853","https://openalex.org/W2982905616","https://openalex.org/W2009831055","https://openalex.org/W4379251913","https://openalex.org/W2369835347"],"abstract_inverted_index":{"The":[0,103],"criminal":[1,22,147],"amount":[2,15,23],"helps":[3],"the":[4,7,12,33,51,112],"judges":[5],"select":[6],"most":[8],"appropriate":[9],"sentence":[10],"for":[11,61,145],"defendant.":[13],"Criminal":[14],"calculation":[16],"aims":[17],"to":[18,31,66,74,95,122],"identify":[19],"a":[20,25,36,46,84],"final":[21],"in":[24,141],"judgment":[26],"document":[27],"automatically.":[28],"We":[29],"propose":[30,65],"model":[32],"task":[34,90,101,108,137],"as":[35,111],"money":[37,52,148],"entity":[38,53,149],"classification":[39,48,54],"problem,":[40],"which":[41],"can":[42],"be":[43,80],"solved":[44],"by":[45,100],"BERT-based":[47],"model.":[49],"However,":[50],"lacks":[55],"large-scale":[56,124],"high-quality":[57],"human":[58],"annotated":[59],"data":[60,73,94,120,128],"training.":[62],"Thus,":[63],"we":[64,82,116],"leverage":[67],"legal":[68,92,125,131],"domain":[69,93,97,126,142],"knowledge":[70,143],"from":[71,129],"unlabeled":[72,130],"help":[75],"this":[76],"low-resource":[77,146],"task.":[78,114],"To":[79],"specific,":[81],"fine-tune":[83],"general":[85],"BERT":[86],"on":[87],"an":[88,118],"auxiliary":[89,113],"with":[91],"embed":[96],"knowledge,":[98],"inspired":[99],"augmentation.":[102],"natural":[104],"language":[105],"inference":[106],"(NLI)":[107],"is":[109,139],"adopted":[110],"And":[115],"use":[117],"NLI":[119,127],"generator":[121],"generate":[123],"documents.":[132],"Experimental":[133],"results":[134],"show":[135],"that":[136],"augmentation":[138],"effective":[140],"transferring":[144],"classification.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}