{"id":"https://openalex.org/W4386505839","doi":"https://doi.org/10.1145/3594536.3595134","title":"Extraction and Classification of Statute Facets using Few-shot Learning","display_name":"Extraction and Classification of Statute Facets using Few-shot Learning","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4386505839","doi":"https://doi.org/10.1145/3594536.3595134"},"language":"en","primary_location":{"id":"doi:10.1145/3594536.3595134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594536.3595134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"article","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/A5084300718","display_name":"Sachin Pawar","orcid":"https://orcid.org/0000-0002-6531-7127"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sachin Pawar","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Pune, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007601253","display_name":"Basit Ali","orcid":"https://orcid.org/0009-0003-8592-3460"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Basit Ali","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091609490","display_name":"Girish Keshav Palshikar","orcid":"https://orcid.org/0000-0003-3625-6705"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Girish K. Palshikar","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Pune, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Pune, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611917","display_name":"Ramandeep Singh","orcid":"https://orcid.org/0009-0004-4530-7791"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramandeep Singh","raw_affiliation_strings":["Global Privacy Office, Tata Consultancy Services Ltd., New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Global Privacy Office, Tata Consultancy Services Ltd., New Delhi, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101719527","display_name":"Dhirendra Singh","orcid":"https://orcid.org/0009-0005-1164-5220"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhirendra Singh","raw_affiliation_strings":["CFILT IIT Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"CFILT IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084300718"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21582806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9941999912261963,"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":0.9941999912261963,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12755","display_name":"Legal Education and Practice Innovations","score":0.9787999987602234,"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/extraction","display_name":"Extraction (chemistry)","score":0.6236106157302856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6182743310928345},{"id":"https://openalex.org/keywords/statute","display_name":"Statute","score":0.6028246879577637},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6010853052139282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5749260187149048},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44077107310295105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3884451687335968},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.18278580904006958},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16896340250968933},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.11945095658302307},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10701742768287659},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08764779567718506}],"concepts":[{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6236106157302856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182743310928345},{"id":"https://openalex.org/C17319257","wikidata":"https://www.wikidata.org/wiki/Q21189184","display_name":"Statute","level":2,"score":0.6028246879577637},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6010853052139282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5749260187149048},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44077107310295105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3884451687335968},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.18278580904006958},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16896340250968933},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.11945095658302307},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10701742768287659},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08764779567718506},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594536.3595134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594536.3595134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1988634903","https://openalex.org/W2085266938","https://openalex.org/W2112006025","https://openalex.org/W2595551253","https://openalex.org/W2963262589","https://openalex.org/W2970125456","https://openalex.org/W2970200208","https://openalex.org/W2970641574","https://openalex.org/W2986692942","https://openalex.org/W3034999214","https://openalex.org/W3099950029"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393","https://openalex.org/W2043960970"],"abstract_inverted_index":{"In":[0,89],"this":[1,90],"paper,":[2,91],"we":[3,92],"focus":[4],"on":[5,86],"automatic":[6],"extraction":[7],"of":[8,27,42,56,77,124,131,141],"statute":[9,20,29,49,68,101,114,142,189,195],"facets":[10,21,50,69,102,115,143,196],"from":[11,103,214],"legal":[12,36,104],"statutes":[13],"such":[14,51,100],"as":[15,52,75,187,203,205],"Act":[16,46],"documents.":[17],"We":[18,106,127,149,191],"define":[19],"to":[22,111,121,137,159,209],"be":[23,33],"key":[24],"specific":[25],"aspects":[26],"a":[28,87,94,129,145,156,177,207],"which":[30,134,176],"can":[31],"potentially":[32],"used":[34,72],"in":[35,144,155],"arguments.":[37],"For":[38],"example,":[39],"Section":[40],"25F":[41],"the":[43,139,193],"Industrial":[44],"Disputes":[45],"(India)":[47],"contains":[48],"workman,":[53],"employer,":[54],"retrenchment":[55],"workmen,":[57],"continuous":[58],"service":[59],"for":[60,84,98,165,175],"not":[61],"less":[62],"than":[63],"one":[64],"year,":[65],"etc.":[66],"Such":[67],"are":[70,185],"often":[71],"by":[73,82],"lawyers":[74],"part":[76],"their":[78],"argumentation":[79],"and":[80,116,174,200,212],"also":[81],"judges":[83],"deciding":[85],"case.":[88],"propose":[93,128],"weakly":[95],"supervised":[96],"technique":[97],"extracting":[99],"text.":[105],"use":[107,117,150],"dependency":[108],"tree":[109],"structure":[110],"extract":[112],"candidate":[113],"BM25":[118],"ranking":[119],"function":[120],"determine":[122],"statute-specificity":[123,173],"these":[125],"candidates.":[126],"set":[130],"facet":[132,163,178],"types":[133],"enable":[135],"us":[136],"realize":[138],"definition":[140],"more":[146],"computational":[147],"way.":[148],"recent":[151],"deep":[152],"learning":[153],"models":[154],"few-shot":[157],"setting":[158],"predict":[160],"an":[161],"appropriate":[162],"type":[164,179],"each":[166],"candidate.":[167],"Only":[168],"those":[169],"candidates":[170],"with":[171,182],"high":[172,183],"is":[180],"predicted":[181],"confidence,":[184],"selected":[186],"acceptable":[188],"facets.":[190],"evaluate":[192],"extracted":[194],"through":[197],"both":[198],"direct":[199],"indirect":[201],"evaluation":[202],"well":[204],"conduct":[206],"user-study":[208],"get":[210],"validation":[211],"feedback":[213],"lawyers.":[215]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}