{"id":"https://openalex.org/W2884870500","doi":"https://doi.org/10.1017/s1351324918000268","title":"Extraction of templates from phrases using Sequence Binary Decision Diagrams","display_name":"Extraction of templates from phrases using Sequence Binary Decision Diagrams","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2884870500","doi":"https://doi.org/10.1017/s1351324918000268","mag":"2884870500"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324918000268","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324918000268","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.10175","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"D. HIRANO","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"D. HIRANO","raw_affiliation_strings":["Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan e-mail:","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":null,"display_name":"K. TANAKA-ISHII","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. TANAKA-ISHII","raw_affiliation_strings":["Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan e-mail:","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":null,"display_name":"A. FINCH","orcid":null},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. FINCH","raw_affiliation_strings":["National Institute of Information and Communications Technology Kyoto, Kyoto, Japan e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology Kyoto, Kyoto, Japan e-mail:","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3276,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67329012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":"5","first_page":"763","last_page":"795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.5321999788284302,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.5321999788284302,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.08349999785423279,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.07460000365972519,"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/template","display_name":"Template","score":0.8808000087738037},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5716999769210815},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5317000150680542},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4844000041484833},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.45829999446868896},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.40639999508857727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3846000134944916}],"concepts":[{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.8808000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8689000010490417},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5716999769210815},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4275999963283539},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34369999170303345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C2776235265","wikidata":"https://www.wikidata.org/wiki/Q18392052","display_name":"Fragment (logic)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25529998540878296}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1351324918000268","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324918000268","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2001.10175","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.10175","pdf_url":"https://arxiv.org/pdf/2001.10175","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.10175","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.10175","pdf_url":"https://arxiv.org/pdf/2001.10175","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W40123913","https://openalex.org/W52875691","https://openalex.org/W328458486","https://openalex.org/W560371024","https://openalex.org/W1498763386","https://openalex.org/W1584003909","https://openalex.org/W1973311914","https://openalex.org/W1986535287","https://openalex.org/W1997704437","https://openalex.org/W2065925951","https://openalex.org/W2077378918","https://openalex.org/W2080267935","https://openalex.org/W2080666934","https://openalex.org/W2088672056","https://openalex.org/W2097125878","https://openalex.org/W2117819209","https://openalex.org/W2123442489","https://openalex.org/W2127218421","https://openalex.org/W2147152072","https://openalex.org/W2153568660","https://openalex.org/W2154478838","https://openalex.org/W2164870633","https://openalex.org/W2250834202","https://openalex.org/W2251070447","https://openalex.org/W4213009331","https://openalex.org/W4238067037","https://openalex.org/W4252403066","https://openalex.org/W6636649193","https://openalex.org/W6638112347","https://openalex.org/W6640362995","https://openalex.org/W6640448907","https://openalex.org/W6681837902"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,83,111],"extraction":[2,142],"of":[3,14,20,44,57,80,86,93,109,113,115,140],"templates":[4,32,128,148,153],"such":[5],"as":[6,9],"\u2018regard":[7],"X":[8],"Y\u2019":[10],"from":[11,34,105,149,154,157],"a":[12,40,55,60,65,90,106],"set":[13,56],"related":[15],"phrases":[16],"requires":[17],"the":[18,45,78,94,119,127,136],"identification":[19],"their":[21],"internal":[22],"structures.":[23],"This":[24],"paper":[25,88],"presents":[26],"an":[27],"unsupervised":[28],"approach":[29],"for":[30],"extracting":[31],"on-the-fly":[33],"only":[35],"tagged":[36],"text":[37,120],"by":[38],"using":[39],"novel":[41],"relaxed":[42,91],"variant":[43],"Sequence":[46],"Binary":[47],"Decision":[48],"Diagram":[49],"(SeqBDD).":[50],"A":[51],"SeqBDD":[52,95,123],"can":[53],"compress":[54],"sequences":[58],"into":[59],"graphical":[61],"structure":[62],"equivalent":[63],"to":[64,77,101,131],"minimal":[66],"deterministic":[67],"finite":[68],"state":[69],"automata,":[70],"but":[71],"more":[72],"compact":[73],"and":[74,151],"better":[75],"suited":[76],"task":[79],"template":[81],"extraction.":[82],"main":[84],"contribution":[85],"this":[87],"is":[89,138],"form":[92,102],"construction":[96],"algorithm":[97],"that":[98,135],"enables":[99],"it":[100],"general":[103],"representations":[104],"small":[107],"amount":[108],"data.":[110],"process":[112],"compression":[114],"shared":[116],"structures":[117],"in":[118],"during":[121],"Relaxed":[122],"construction,":[124],"naturally":[125],"induces":[126],"we":[129],"wish":[130],"extract.":[132],"Experiments":[133],"show":[134],"method":[137],"capable":[139],"high-quality":[141],"on":[143,146],"tasks":[144],"based":[145],"verb+preposition":[147],"corpora":[150],"phrasal":[152],"short":[155],"messages":[156],"social":[158],"media.":[159]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2018-08-03T00:00:00"}
