{"id":"https://openalex.org/W4387846619","doi":"https://doi.org/10.1145/3583780.3615308","title":"The 3rd International Workshop on Mining and Learning in the Legal Domain","display_name":"The 3rd International Workshop on Mining and Learning in the Legal Domain","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846619","doi":"https://doi.org/10.1145/3583780.3615308"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5081476817","display_name":"Masoud Makrehchi","orcid":"https://orcid.org/0000-0003-0287-9568"},"institutions":[{"id":"https://openalex.org/I4210115483","display_name":"Thomson Reuters (Canada)","ror":"https://ror.org/01r4zz038","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210115483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Masoud Makrehchi","raw_affiliation_strings":["Thomson Reuters Labs, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Thomson Reuters Labs, Toronto, Canada","institution_ids":["https://openalex.org/I4210115483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015784640","display_name":"Dell Zhang","orcid":"https://orcid.org/0000-0002-8774-3725"},"institutions":[{"id":"https://openalex.org/I4210090249","display_name":"Thomson Reuters (United Kingdom)","ror":"https://ror.org/008krtd86","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090249","https://openalex.org/I68384125"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dell Zhang","raw_affiliation_strings":["Thomson Reuters Labs, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Thomson Reuters Labs, London, United Kingdom","institution_ids":["https://openalex.org/I4210090249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090418825","display_name":"Alina Petrova","orcid":"https://orcid.org/0000-0002-6109-1888"},"institutions":[{"id":"https://openalex.org/I4210090249","display_name":"Thomson Reuters (United Kingdom)","ror":"https://ror.org/008krtd86","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090249","https://openalex.org/I68384125"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alina Petrova","raw_affiliation_strings":["Thomson Reuters Labs, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Thomson Reuters Labs, London, United Kingdom","institution_ids":["https://openalex.org/I4210090249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063366146","display_name":"John Armour","orcid":"https://orcid.org/0000-0001-6903-926X"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Armour","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081476817"],"corresponding_institution_ids":["https://openalex.org/I4210115483"],"apc_list":null,"apc_paid":null,"fwci":2.4721,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91297548,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5277","last_page":"5280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9987999796867371,"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":0.9987999796867371,"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/T10028","display_name":"Topic Modeling","score":0.9627000093460083,"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":0.9513999819755554,"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":0.6908748149871826},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6086117625236511},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5933331251144409},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5376473665237427},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5325801372528076},{"id":"https://openalex.org/keywords/legal-research","display_name":"Legal research","score":0.4483437240123749},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4451097548007965},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3549995422363281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29003599286079407},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13310852646827698},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.08450719714164734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908748149871826},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6086117625236511},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5933331251144409},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5376473665237427},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5325801372528076},{"id":"https://openalex.org/C522695570","wikidata":"https://www.wikidata.org/wiki/Q6517578","display_name":"Legal research","level":2,"score":0.4483437240123749},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4451097548007965},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3549995422363281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29003599286079407},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13310852646827698},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.08450719714164734},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3195577433","https://openalex.org/W4365393326","https://openalex.org/W4367061255","https://openalex.org/W4377000868","https://openalex.org/W4387847354"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2380075625","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W1583422155","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W1534006406"],"abstract_inverted_index":{"The":[0,78],"increasing":[1],"accessibility":[2],"of":[3,22,60,68,75,122,130,165],"legal":[4,26,30,34,39,43,52,112],"corpora":[5],"and":[6,14,32,37,42,71,86,94,105,144,154,159],"databases":[7],"create":[8],"opportunities":[9,133],"to":[10,82,88,109],"develop":[11],"data-driven":[12],"techniques":[13,108],"advanced":[15],"tools":[16],"that":[17,150],"can":[18],"facilitate":[19],"a":[20],"variety":[21],"tasks":[23],"in":[24,97,140],"the":[25,51,57,65,72,90,111,116,119,123,128,162],"domain,":[27],"such":[28],"as":[29],"search":[31],"research,":[33],"document":[35],"review":[36],"summary,":[38],"contract":[40],"drafting,":[41],"outcome":[44],"prediction.":[45],"Compared":[46],"with":[47],"other":[48],"application":[49],"domains,":[50],"domain":[53],"is":[54],"characterized":[55],"by":[56,136],"huge":[58],"scale":[59],"natural":[61],"language":[62],"text":[63],"data,":[64],"high":[66],"complexity":[67],"specialist":[69],"knowledge,":[70],"critical":[73],"importance":[74],"ethical":[76],"considerations.":[77],"MLLD":[79,124],"workshop":[80,125],"aims":[81],"bring":[83],"together":[84],"researchers":[85],"practitioners":[87],"share":[89],"latest":[91],"research":[92,132],"findings":[93],"innovative":[95],"approaches":[96],"employing":[98],"data":[99],"mining,":[100],"machine":[101],"learning,":[102],"information":[103],"retrieval,":[104],"knowledge":[106],"management":[107],"transform":[110],"sector.":[113],"Building":[114],"upon":[115],"previous":[117],"successes,":[118],"third":[120],"edition":[121],"will":[126],"emphasize":[127],"exploration":[129],"new":[131],"brought":[134],"about":[135],"recent":[137],"rapid":[138],"advances":[139],"Large":[141],"Language":[142],"Models":[143],"Generative":[145],"AI.":[146],"We":[147],"encourage":[148],"submissions":[149],"intersect":[151],"computer":[152],"science":[153],"law,":[155],"from":[156],"both":[157],"academia":[158],"industry,":[160],"embodying":[161],"interdisciplinary":[163],"spirit":[164],"CIKM.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
