{"id":"https://openalex.org/W2257930276","doi":"https://doi.org/10.1587/transinf.2015edp7115","title":"A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling","display_name":"A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2257930276","doi":"https://doi.org/10.1587/transinf.2015edp7115","mag":"2257930276"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2015edp7115","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7115","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/2/E99.D_2015EDP7115/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/2/E99.D_2015EDP7115/_pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045566337","display_name":"Yoko Nakajima","orcid":"https://orcid.org/0000-0002-6944-4131"},"institutions":[{"id":"https://openalex.org/I98957242","display_name":"Kitami Institute of Technology","ror":"https://ror.org/05wks2t16","country_code":"JP","type":"education","lineage":["https://openalex.org/I98957242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko NAKAJIMA","raw_affiliation_strings":["Department of Computer Science, Kitami Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kitami Institute of Technology","institution_ids":["https://openalex.org/I98957242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015548774","display_name":"Micha\u0142 Ptaszy\u0144ski","orcid":"https://orcid.org/0000-0002-1910-9183"},"institutions":[{"id":"https://openalex.org/I98957242","display_name":"Kitami Institute of Technology","ror":"https://ror.org/05wks2t16","country_code":"JP","type":"education","lineage":["https://openalex.org/I98957242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michal PTASZYNSKI","raw_affiliation_strings":["Department of Computer Science, Kitami Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kitami Institute of Technology","institution_ids":["https://openalex.org/I98957242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108280892","display_name":"Hirotoshi Honma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131518","display_name":"National Institute of Technology, Kushiro College","ror":"https://ror.org/03twzfb97","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210131518"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotoshi HONMA","raw_affiliation_strings":["Department of Information Engineering, National Institute of Technology, Kushiro College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, National Institute of Technology, Kushiro College","institution_ids":["https://openalex.org/I4210131518"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039659770","display_name":"Fumito Masui","orcid":"https://orcid.org/0000-0001-9979-8734"},"institutions":[{"id":"https://openalex.org/I98957242","display_name":"Kitami Institute of Technology","ror":"https://ror.org/05wks2t16","country_code":"JP","type":"education","lineage":["https://openalex.org/I98957242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumito MASUI","raw_affiliation_strings":["Department of Computer Science, Kitami Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kitami Institute of Technology","institution_ids":["https://openalex.org/I98957242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1596,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90847307,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"E99.D","issue":"2","first_page":"514","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9988999962806702,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9984999895095825,"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/newspaper","display_name":"Newspaper","score":0.8501682281494141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8004825115203857},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5158804655075073},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47346845269203186},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4717943072319031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45934945344924927},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33868885040283203},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2668178379535675},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.17201367020606995}],"concepts":[{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.8501682281494141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004825115203857},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5158804655075073},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47346845269203186},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4717943072319031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45934945344924927},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33868885040283203},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2668178379535675},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.17201367020606995},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1587/transinf.2015edp7115","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7115","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/2/E99.D_2015EDP7115/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01268:0002090390","is_oa":true,"landing_page_url":"https://kitami-it.repo.nii.ac.jp/records/8176","pdf_url":"https://kitami-it.repo.nii.ac.jp/record/8176/files/2016_A%20Method%20for%20Extraction%20of%20Future%20Reference%20Sentences%20Based%20on%20Semantic%20Role%20Labeling.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2015edp7115","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2015edp7115","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E99.D/2/E99.D_2015EDP7115/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3991893584","display_name":"FeelHelper: Development of technology for cyberbullying mitigation focusing on both perpetrator and victim","funder_award_id":"15K16044","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4423458754","display_name":"A study on algorithms for improving the reliability of network system with intersection graph structure","funder_award_id":"25330019","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2257930276.pdf","grobid_xml":"https://content.openalex.org/works/W2257930276.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1684832230","https://openalex.org/W1722351164","https://openalex.org/W2015186536","https://openalex.org/W2027233868","https://openalex.org/W2074543827","https://openalex.org/W2099421013","https://openalex.org/W2118689949","https://openalex.org/W2147528525","https://openalex.org/W2188947362","https://openalex.org/W2250775745","https://openalex.org/W2295415819","https://openalex.org/W2319854957","https://openalex.org/W2903303058","https://openalex.org/W4248552329","https://openalex.org/W4388167510"],"related_works":["https://openalex.org/W2376554757","https://openalex.org/W612150824","https://openalex.org/W2361959990","https://openalex.org/W1596512750","https://openalex.org/W2383443050","https://openalex.org/W2367702734","https://openalex.org/W2100945520","https://openalex.org/W2386525189","https://openalex.org/W2360284199","https://openalex.org/W2620505790"],"abstract_inverted_index":{"In":[0,50,159,196],"everyday":[1],"life,":[2],"people":[3,90,136],"use":[4],"past":[5,40,83],"events":[6],"and":[7,26,45,48,149,171,210],"their":[8],"own":[9],"knowledge":[10,21],"in":[11,107,156,169,218],"predicting":[12],"probable":[13],"unfolding":[14],"of":[15,33,110,127,182,199,214,220],"events.":[16,86],"To":[17],"obtain":[18],"the":[19,27,63,98,108,122,152,157,160,212,215],"necessary":[20],"for":[22,179],"such":[23,183],"predictions,":[24],"newspapers":[25,170],"Internet":[28],"provide":[29],"a":[30,92,177,197],"general":[31],"source":[32],"information.":[34],"Newspapers":[35],"contain":[36,68],"various":[37],"expressions":[38,69],"describing":[39],"events,":[41,47,77],"but":[42,78],"also":[43,80],"current":[44,85],"future":[46,76,166,207,221],"opinions.":[49],"our":[51],"research":[52],"we":[53,163,175,201],"focused":[54],"on":[55],"automatically":[56],"obtaining":[57],"sentences":[58,66,168,184,209],"that":[59,70,95],"make":[60],"reference":[61,167,208,222],"to":[62,75,82,116,140,154],"future.":[64,158],"Such":[65],"can":[67],"not":[71,138],"only":[72],"explicitly":[73],"refer":[74,81],"could":[79],"or":[84],"For":[87],"example,":[88],"if":[89,121],"read":[91],"news":[93],"article":[94,123],"states":[96],"\u201cIn":[97],"near":[99],"future,":[100],"there":[101],"will":[102,137],"be":[103,114],"an":[104],"upward":[105],"trend":[106],"price":[109],"gasoline,\u201d":[111],"they":[112,144],"may":[113,150],"likely":[115],"buy":[117,141],"gasoline":[118,128],"now.":[119],"However,":[120],"says":[124],"\u201cThe":[125],"cost":[126,153],"has":[129],"just":[130],"risen":[131],"10":[132],"yen":[133],"per":[134],"liter,\u201d":[135],"rush":[139],"gasoline,":[142],"because":[143],"accept":[145],"this":[146],"as":[147],"reality":[148],"expect":[151],"decrease":[155],"following":[161],"study":[162],"firstly":[164],"investigate":[165],"Web":[172],"news.":[173],"Next,":[174],"propose":[176],"method":[178],"automatic":[180],"extraction":[181],"by":[185],"using":[186],"semantic":[187,203],"role":[188,204],"labels,":[189],"without":[190],"typical":[191],"approaches":[192],"(temporal":[193],"expressions,":[194],"etc.).":[195],"series":[198],"experiments,":[200],"extract":[202],"patterns":[205,217],"from":[206],"examine":[211],"validity":[213],"extracted":[216],"classification":[219],"sentences.":[223]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
