{"id":"https://openalex.org/W4416926039","doi":"https://doi.org/10.1109/access.2025.3639458","title":"Hybrid Statistical Model and Rule-Based Algorithm for Legal Analysis: A Case Study on Thai Offences Against Property","display_name":"Hybrid Statistical Model and Rule-Based Algorithm for Legal Analysis: A Case Study on Thai Offences Against Property","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416926039","doi":"https://doi.org/10.1109/access.2025.3639458"},"language":null,"primary_location":{"id":"doi:10.1109/access.2025.3639458","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3639458","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3639458","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046988351","display_name":"Sirawit Chokphantavee","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":false,"raw_author_name":"Sirawit Chokphantavee","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-6075-2104","affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019460821","display_name":"Sorawit Chokphantavee","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":false,"raw_author_name":"Sorawit Chokphantavee","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0009-0003-8414-3868","affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080071277","display_name":"Somrudee Deepaisarn","orcid":"https://orcid.org/0000-0001-7647-6345"},"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":false,"raw_author_name":"Somrudee Deepaisarn","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-7647-6345","affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38859408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"208034","last_page":"208054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.807200014591217,"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":0.807200014591217,"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/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13583","display_name":"Jury Decision Making Processes","score":0.010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.51419997215271},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.49399998784065247},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.4726000130176544},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4672999978065491},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4526999890804291},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4424999952316284},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41510000824928284},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4083000123500824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419000267982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156999826431274},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.4726000130176544},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4526999890804291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4424999952316284},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43369999527931213},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C2778272461","wikidata":"https://www.wikidata.org/wiki/Q190752","display_name":"Supreme court","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2547999918460846},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2025.3639458","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3639458","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3639458","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3639458","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335051","display_name":"Sirindhorn International Institute of Technology, Thammasat University","ror":"https://ror.org/002yp7f20"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W54887220","https://openalex.org/W1524416683","https://openalex.org/W2069598966","https://openalex.org/W2089617013","https://openalex.org/W2250539671","https://openalex.org/W2270070752","https://openalex.org/W2493916176","https://openalex.org/W2536769020","https://openalex.org/W2882319491","https://openalex.org/W2906685078","https://openalex.org/W2919115771","https://openalex.org/W2954257417","https://openalex.org/W2962739339","https://openalex.org/W2963250244","https://openalex.org/W2963979492","https://openalex.org/W2965373594","https://openalex.org/W2986266667","https://openalex.org/W2997429021","https://openalex.org/W3099950029","https://openalex.org/W3176954329","https://openalex.org/W3198941091","https://openalex.org/W3213213154","https://openalex.org/W4285120549","https://openalex.org/W4318586794","https://openalex.org/W4385012168","https://openalex.org/W4385245566","https://openalex.org/W4385730458","https://openalex.org/W4406237488","https://openalex.org/W4407600832","https://openalex.org/W4411103200"],"related_works":[],"abstract_inverted_index":{"Legal":[0],"analysis":[1,55,223],"utilizing":[2],"natural":[3],"language":[4],"processing":[5],"(NLP)":[6],"and":[7,25,48,79,116,130,134,172],"machine":[8,215],"learning":[9,216],"(ML)":[10],"technologies":[11],"is":[12,149],"a":[13,28,42,84,146,153,163,206,220],"difficult":[14],"undertaking":[15],"that":[16,142],"has":[17],"recently":[18],"sparked":[19],"the":[20,64,68,102,106,124,156,179,193,198,202,211],"interest":[21],"of":[22,45,158,166,200],"many":[23],"academics":[24],"industries.":[26],"Using":[27],"human-annotated":[29],"dataset":[30],"summarized":[31],"into":[32],"colloquial":[33],"Thai":[34,58],"from":[35,97,191,205,214],"Supreme":[36],"Court":[37],"decisions,":[38],"this":[39],"work":[40],"investigates":[41],"different":[43],"combination":[44],"NLP,":[46],"ML,":[47],"rule-based":[49,194,207],"techniques":[50,217],"for":[51,123,127,151],"accurate":[52],"legal":[53,222],"case":[54,107],"as":[56],"per":[57],"law,":[59],"especially":[60],"property-related":[61,95,110],"offences,":[62,100,111],"with":[63,74,108,138,178,210],"intuition":[65],"to":[66,93],"imitate":[67],"lawyer\u2019s":[69],"cognitive":[70],"process.":[71],"We":[72,119],"experimented":[73],"two":[75],"major":[76],"tasks,":[77],"binary":[78,89],"multi-label":[80,103,159],"classification,":[81,160],"evaluated":[82],"using":[83],"five-fold":[85],"cross-validation":[86],"method.":[87],"The":[88],"classification":[90,183],"was":[91],"performed":[92],"discern":[94],"cases":[96],"other":[98],"criminal":[99],"while":[101],"task":[104,126],"associates":[105],"specific":[109],"including":[112],"theft,":[113],"snatching,":[114],"robbery,":[115],"gang":[117],"robbery.":[118],"achieved":[120],"exceptional":[121],"performance":[122],"former":[125],"average":[128,169,175],"accuracy":[129,171],"F1-score,":[131],"reaching":[132],"94.2%":[133],"96.7%,":[135],"respectively,":[136],"together":[137,209],"an":[139,189],"intriguing":[140],"finding":[141],"solely":[143],"vanilla":[144],"fastText,":[145],"static":[147],"embedding,":[148],"enough":[150],"such":[152],"task.":[154,224],"For":[155],"part":[157],"we":[161],"obtained":[162],"remarkable":[164],"result":[165],"82.0%":[167],"in":[168,174,218],"zero-one":[170],"92.0%":[173],"Hamming":[176],"accuracy,":[177],"fine-tuned":[180],"joint":[181],"embedding":[182],"pipeline":[184],"incorporating":[185],"rulebased":[186],"post-processing,":[187],"showing":[188],"improvement":[190],"without":[192],"technique.":[195],"This":[196],"highlights":[197],"possibility":[199],"integrating":[201],"symbolic":[203],"information":[204],"algorithm":[208],"statistical":[212],"computation":[213],"performing":[219],"complex":[221]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-02T00:00:00"}