{"id":"https://openalex.org/W2739628284","doi":"https://doi.org/10.29007/16q5","title":"Analyzable Legal Yes/No Question Answering System using Linguistic Structures","display_name":"Analyzable Legal Yes/No Question Answering System using Linguistic Structures","publication_year":2018,"publication_date":"2018-01-23","ids":{"openalex":"https://openalex.org/W2739628284","doi":"https://doi.org/10.29007/16q5","mag":"2739628284"},"language":"en","primary_location":{"id":"doi:10.29007/16q5","is_oa":true,"landing_page_url":"https://doi.org/10.29007/16q5","pdf_url":"https://easychair.org/publications/open/zdP","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://easychair.org/publications/open/zdP","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017969792","display_name":"Yoshinobu Kano","orcid":"https://orcid.org/0000-0001-7864-842X"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshinobu Kano","raw_affiliation_strings":["Faculty of Informatics, Shizuoka University"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Shizuoka University","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042368200","display_name":"Reina Hoshino","orcid":null},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Reina Hoshino","raw_affiliation_strings":["Faculty of Informatics, Shizuoka University"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Shizuoka University","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089329093","display_name":"Ryosuke Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Taniguchi","raw_affiliation_strings":["Faculty of Informatics, Shizuoka University"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Shizuoka University","institution_ids":["https://openalex.org/I1298590031"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017969792"],"corresponding_institution_ids":["https://openalex.org/I1298590031"],"apc_list":null,"apc_paid":null,"fwci":0.3384,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66602274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"47","issue":null,"first_page":"57","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9975000023841858,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.972100019454956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.89384526014328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362100481987},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6585738062858582},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6192907094955444},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6134817004203796},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.6025417447090149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5873801708221436},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.5765326619148254},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5174887180328369},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4380044937133789},{"id":"https://openalex.org/keywords/linguistic-analysis","display_name":"Linguistic analysis","score":0.41841351985931396},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4149731695652008},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.09985139966011047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09775453805923462}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.89384526014328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362100481987},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6585738062858582},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6192907094955444},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6134817004203796},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.6025417447090149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5873801708221436},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.5765326619148254},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5174887180328369},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4380044937133789},{"id":"https://openalex.org/C2987219923","wikidata":"https://www.wikidata.org/wiki/Q777864","display_name":"Linguistic analysis","level":2,"score":0.41841351985931396},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4149731695652008},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09985139966011047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09775453805923462},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.29007/16q5","is_oa":true,"landing_page_url":"https://doi.org/10.29007/16q5","pdf_url":"https://easychair.org/publications/open/zdP","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.29007/16q5","is_oa":true,"landing_page_url":"https://doi.org/10.29007/16q5","pdf_url":"https://easychair.org/publications/open/zdP","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G7879866177","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320909","display_name":"Keio University","ror":"https://ror.org/02kn6nx58"},{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739628284.pdf","grobid_xml":"https://content.openalex.org/works/W2739628284.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W29814777","https://openalex.org/W135190683","https://openalex.org/W1523019309","https://openalex.org/W2034797903","https://openalex.org/W2045608426","https://openalex.org/W2055354597","https://openalex.org/W2080558111","https://openalex.org/W2115461474","https://openalex.org/W2124576712","https://openalex.org/W2126034021","https://openalex.org/W2126776599","https://openalex.org/W2130158090","https://openalex.org/W2135514656","https://openalex.org/W2147308966","https://openalex.org/W2167435923","https://openalex.org/W2405360358","https://openalex.org/W2406293061","https://openalex.org/W2733849899","https://openalex.org/W6682196819","https://openalex.org/W6713642249"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W4200417912","https://openalex.org/W1893429831"],"abstract_inverted_index":{"A":[0],"central":[1],"issue":[2],"of":[3,9,78],"yes/no":[4,16,27,57],"question":[5,17,28,58],"answering":[6,18,29,62],"is":[7,39],"usage":[8],"knowledge":[10,86],"source":[11,87],"given":[12,82,123],"a":[13,23,56,65,124],"question.":[14],"While":[15],"has":[19],"been":[20],"studied":[21],"for":[22,61,151],"long":[24],"time,":[25],"legal":[26,41,66],"largely":[30],"differs":[31],"from":[32],"other":[33],"domains.":[34],"The":[35],"most":[36],"distinguishing":[37],"characteristic":[38],"that":[40,130],"issues":[42],"require":[43],"precise":[44,131],"linguistic":[45,71,132],"analysis":[46],"such":[47],"as":[48],"predicates,":[49],"case-roles,":[50],"conditions,":[51],"etc.":[52],"We":[53,89],"have":[54],"developed":[55],"answer-ing":[59],"system":[60,69,92],"questions":[63],"in":[64,73,109,147],"domain.":[67],"Our":[68,103],"uses":[70],"analysis,":[72],"order":[74],"to":[75,93,118],"find":[76],"correspondences":[77],"predicates":[79],"and":[80,85],"arguments":[81],"problem":[83,125],"sentences":[84],"sentences.":[88],"applied":[90],"our":[91],"the":[94,106,138],"COLIEE":[95,111],"(Competition":[96],"on":[97],"Legal":[98],"Information":[99],"Extraction/Entailment)":[100],"2017":[101,112],"task.":[102],"team":[104],"shared":[105],"second":[107],"place":[108],"this":[110],"Phase":[113],"Two":[114],"task,":[115],"which":[116],"asks":[117],"answer":[119],"yes":[120],"or":[121],"no":[122],"sentence.":[126],"This":[127],"result":[128],"shows":[129],"analyses":[133],"are":[134],"effective":[135],"even":[136],"without":[137],"big":[139],"data":[140],"approach":[141],"with":[142],"machine":[143],"learning,":[144],"rather":[145],"better":[146],"its":[148],"analyzable":[149],"design":[150],"future":[152],"improvements.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}