{"id":"https://openalex.org/W4200050671","doi":"https://doi.org/10.5753/stil.2021.17803","title":"verBERT: Automating Brazilian Case Law Document Multi-label Categorization Using BERT","display_name":"verBERT: Automating Brazilian Case Law Document Multi-label Categorization Using BERT","publication_year":2021,"publication_date":"2021-11-29","ids":{"openalex":"https://openalex.org/W4200050671","doi":"https://doi.org/10.5753/stil.2021.17803"},"language":"en","primary_location":{"id":"doi:10.5753/stil.2021.17803","is_oa":true,"landing_page_url":"https://doi.org/10.5753/stil.2021.17803","pdf_url":"https://sol.sbc.org.br/index.php/stil/article/download/17803/17637","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XIII Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2021)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sol.sbc.org.br/index.php/stil/article/download/17803/17637","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066696660","display_name":"Felipe Ribas Serras","orcid":"https://orcid.org/0000-0003-1683-167X"},"institutions":[{"id":"https://openalex.org/I4210131481","display_name":"Universidad San Pedro","ror":"https://ror.org/03fehwj53","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210131481"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]},{"id":"https://openalex.org/I2800423888","display_name":"Instituto Butantan","ror":"https://ror.org/01whwkf30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I2800423888"]}],"countries":["BR","PE"],"is_corresponding":true,"raw_author_name":"Felipe R. Serras","raw_affiliation_strings":["USP","Institute of Mathematics and Statistics (IME) -University of S\u00e3o Paulo (USP) R. do Mat\u00e3o, 1010 -Butant\u00e3 -S\u00e3o Paulo -SP -Brazil -05508-090"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USP","institution_ids":["https://openalex.org/I4210131481"]},{"raw_affiliation_string":"Institute of Mathematics and Statistics (IME) -University of S\u00e3o Paulo (USP) R. do Mat\u00e3o, 1010 -Butant\u00e3 -S\u00e3o Paulo -SP -Brazil -05508-090","institution_ids":["https://openalex.org/I2800423888","https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024395125","display_name":"Marcelo Finger","orcid":"https://orcid.org/0000-0002-1391-1175"},"institutions":[{"id":"https://openalex.org/I4210131481","display_name":"Universidad San Pedro","ror":"https://ror.org/03fehwj53","country_code":"PE","type":"education","lineage":["https://openalex.org/I4210131481"]},{"id":"https://openalex.org/I2800423888","display_name":"Instituto Butantan","ror":"https://ror.org/01whwkf30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I2800423888"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR","PE"],"is_corresponding":false,"raw_author_name":"Marcelo Finger","raw_affiliation_strings":["USP","Institute of Mathematics and Statistics (IME) -University of S\u00e3o Paulo (USP) R. do Mat\u00e3o, 1010 -Butant\u00e3 -S\u00e3o Paulo -SP -Brazil -05508-090"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USP","institution_ids":["https://openalex.org/I4210131481"]},{"raw_affiliation_string":"Institute of Mathematics and Statistics (IME) -University of S\u00e3o Paulo (USP) R. do Mat\u00e3o, 1010 -Butant\u00e3 -S\u00e3o Paulo -SP -Brazil -05508-090","institution_ids":["https://openalex.org/I2800423888","https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066696660"],"corresponding_institution_ids":["https://openalex.org/I17974374","https://openalex.org/I2800423888","https://openalex.org/I4210131481"],"apc_list":null,"apc_paid":null,"fwci":0.5597,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74422555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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":0.9976999759674072,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9969000220298767,"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":0.9936000108718872,"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/categorization","display_name":"Categorization","score":0.797993540763855},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7256385684013367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196153402328491},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6644307971000671},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.6410043835639954},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.537070095539093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45217469334602356},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4169018864631653},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40143662691116333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3386792242527008},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1006174087524414},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06551125645637512}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.797993540763855},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7256385684013367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196153402328491},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6644307971000671},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.6410043835639954},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.537070095539093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45217469334602356},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4169018864631653},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40143662691116333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3386792242527008},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1006174087524414},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06551125645637512},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5753/stil.2021.17803","is_oa":true,"landing_page_url":"https://doi.org/10.5753/stil.2021.17803","pdf_url":"https://sol.sbc.org.br/index.php/stil/article/download/17803/17637","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XIII Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2021)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.06224","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.06224","pdf_url":"https://arxiv.org/pdf/2203.06224","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.5753/stil.2021.17803","is_oa":true,"landing_page_url":"https://doi.org/10.5753/stil.2021.17803","pdf_url":"https://sol.sbc.org.br/index.php/stil/article/download/17803/17637","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anais do XIII Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2021)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G295657101","display_name":null,"funder_award_id":"2019/","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G3794326933","display_name":null,"funder_award_id":"Code 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G5658673143","display_name":null,"funder_award_id":"2019/07665-4","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6713122265","display_name":null,"funder_award_id":"2019/07665-4","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200050671.pdf","grobid_xml":"https://content.openalex.org/works/W4200050671.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W66588809","https://openalex.org/W1499841549","https://openalex.org/W1574901103","https://openalex.org/W1579906155","https://openalex.org/W1622676895","https://openalex.org/W2031745026","https://openalex.org/W2116878278","https://openalex.org/W2118020653","https://openalex.org/W2120615054","https://openalex.org/W2121605237","https://openalex.org/W2121981414","https://openalex.org/W2130275711","https://openalex.org/W2184777435","https://openalex.org/W2799054028","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2923014074","https://openalex.org/W2962910668","https://openalex.org/W2976444281","https://openalex.org/W2980282514","https://openalex.org/W2984978596","https://openalex.org/W3092234077","https://openalex.org/W3096266342","https://openalex.org/W3106883764","https://openalex.org/W6601654804","https://openalex.org/W6686516128","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173","https://openalex.org/W2106892947","https://openalex.org/W2237299843"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,40,72],"carried":[4],"out":[5],"a":[6,42,74],"study":[7],"about":[8],"the":[9,16,27,55,63,89],"use":[10],"of":[11,18,47,77,84],"attention-based":[12],"algorithms":[13],"to":[14,30,82],"automate":[15],"categorization":[17],"Brazilian":[19],"case":[20],"law":[21],"documents.":[22],"We":[23,58],"used":[24],"data":[25],"from":[26],"Kollemata":[28],"Project":[29],"produce":[31],"two":[32],"distinct":[33],"datasets":[34],"with":[35,54],"adequate":[36],"class":[37],"systems.":[38],"Then,":[39],"implemented":[41],"multi-class":[43],"and":[44,49],"multi-label":[45],"version":[46],"BERT":[48,52],"fine-tuned":[50],"different":[51],"models":[53],"produced":[56],"datasets.":[57],"evaluated":[59],"several":[60],"metrics,":[61],"adopting":[62],"micro-averaged":[64],"F1-Score":[65],"as":[66],"our":[67],"main":[68],"metric":[69],"for":[70],"which":[71],"obtained":[73],"performance":[75],"value":[76],"\u2329F1\u232amicro":[78],"=":[79],"0.72":[80],"corresponding":[81],"gains":[83],"30":[85],"percent":[86],"points":[87],"over":[88],"tested":[90],"statistical":[91],"baseline.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-18T08:16:58.900851","created_date":"2025-10-10T00:00:00"}