{"id":"https://openalex.org/W6907139512","doi":"https://doi.org/10.21227/chhq-e465","title":"Multilabel Thai property-related offences","display_name":"Multilabel Thai property-related offences","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W6907139512","doi":"https://doi.org/10.21227/chhq-e465"},"language":"en","primary_location":{"id":"doi:10.21227/chhq-e465","is_oa":true,"landing_page_url":"https://doi.org/10.21227/chhq-e465","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/chhq-e465","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chokphantavee, Sirawit","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Chokphantavee, Sirawit","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University"],"affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108108428"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.48080000281333923},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4129999876022339},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.35679998993873596},{"id":"https://openalex.org/keywords/stylometry","display_name":"Stylometry","score":0.35659998655319214},{"id":"https://openalex.org/keywords/supreme-court","display_name":"Supreme court","score":0.3287999927997589},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3179999887943268},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.305400013923645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292999982833862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075999736785889},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35600000619888306},{"id":"https://openalex.org/C2778272461","wikidata":"https://www.wikidata.org/wiki/Q190752","display_name":"Supreme court","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2962000072002411},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.28610000014305115},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/chhq-e465","is_oa":true,"landing_page_url":"https://doi.org/10.21227/chhq-e465","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/chhq-e465","is_oa":true,"landing_page_url":"https://doi.org/10.21227/chhq-e465","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.48756441473960876}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Legal":[0],"analysis":[1,53,190],"utilizing":[2],"natural":[3],"language":[4],"processing":[5],"and":[6,23,46,77,97,101,139],"machine":[7,182],"learning":[8,183],"technologies":[9],"is":[10,116],"a":[11,26,40,82,113,120,130,173,187],"difficult":[12],"undertaking":[13],"that":[14,109],"has":[15],"recently":[16],"sparked":[17],"the":[18,62,66,91,123,146,160,165,169,178],"interest":[19],"of":[20,43,125,133,167],"many":[21],"academics":[22],"industries.":[24],"Using":[25],"human-annotated":[27],"dataset":[28],"summarized":[29],"into":[30],"colloquial":[31],"Thai":[32,56],"from":[33,158,172,181],"Supreme":[34],"Court":[35],"decisions,":[36],"this":[37],"work":[38],"investigates":[39],"different":[41],"combination":[42],"NLP,":[44],"ML,":[45],"rule-based":[47,153,161,174],"techniques":[48,184],"for":[49,90,94,118],"accurate":[50],"legal":[51,189],"case":[52],"as":[54],"per":[55],"law,":[57],"especially":[58],"property-related":[59],"offences,":[60],"with":[61,72,105,145,177],"intuition":[63],"to":[64],"imitate":[65],"lawyer's":[67],"cognitive":[68],"process.":[69],"We":[70,86],"experimented":[71],"two":[73],"major":[74],"tasks,":[75],"binary":[76],"multi-label":[78,126],"classification,":[79,127],"evaluated":[80],"using":[81],"five-fold":[83],"cross-validation":[84],"method.":[85],"achieved":[87],"exceptional":[88],"performance":[89],"former":[92],"task":[93],"average":[95,136,142],"accuracy":[96,138],"F1-score,":[98],"reaching":[99],"94.2\\%":[100],"96.7\\%,":[102],"respectively,":[103],"together":[104,176],"an":[106,156],"intriguing":[107],"finding":[108],"solely":[110],"vanilla":[111],"fastText,":[112],"static":[114],"embedding,":[115],"enough":[117],"such":[119],"task.":[121,191],"For":[122],"part":[124],"we":[128],"obtained":[129],"remarkable":[131],"result":[132],"82\\%":[134],"in":[135,141,185],"zero-one":[137],"92\\%":[140],"hamming":[143],"accuracy,":[144],"fine-tuned":[147],"joint":[148],"embedding":[149],"classification":[150],"pipeline":[151],"incorporating":[152],"post-processing,":[154],"showing":[155],"improvement":[157],"without":[159],"technique.":[162],"This":[163],"highlights":[164],"possibility":[166],"integrating":[168],"symbolic":[170],"information":[171],"algorithm":[175],"statistical":[179],"computation":[180],"performing":[186],"complex":[188]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}