{"id":"https://openalex.org/W2463772340","doi":"https://doi.org/10.1002/pra2.2015.1450520100122","title":"Paradigmatic relations and syntagmatic relations: How are they related?","display_name":"Paradigmatic relations and syntagmatic relations: How are they related?","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2463772340","doi":"https://doi.org/10.1002/pra2.2015.1450520100122","mag":"2463772340"},"language":"en","primary_location":{"id":"doi:10.1002/pra2.2015.1450520100122","is_oa":true,"landing_page_url":"https://doi.org/10.1002/pra2.2015.1450520100122","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pra2.2015.1450520100122","source":{"id":"https://openalex.org/S4393918545","display_name":"Proceedings of the Association for Information Science and Technology","issn_l":"2373-9231","issn":["2373-9231"],"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":"Proceedings of the Association for Information Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pra2.2015.1450520100122","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069296950","display_name":"Wanying Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanying Chiu","raw_affiliation_strings":["School of Information Management Wuhan University  China","School of Information Management, Wuhan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management Wuhan University  China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Information Management, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008357796","display_name":"Kun L\u00fc","orcid":"https://orcid.org/0000-0001-5614-7042"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kun Lu","raw_affiliation_strings":["School of Library and Information Studies The University of Oklahoma  USA","School of Library and Information Studies, The University of Oklahoma, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Library and Information Studies The University of Oklahoma  USA","institution_ids":["https://openalex.org/I8692664"]},{"raw_affiliation_string":"School of Library and Information Studies, The University of Oklahoma, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008357796","https://openalex.org/A5069296950"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.1696227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":"1","first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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/syntagmatic-analysis","display_name":"Syntagmatic analysis","score":0.9881196022033691},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7123961448669434},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5869735479354858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5376762747764587},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5110090970993042},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.4920608401298523},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47449207305908203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46851301193237305},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4332406520843506},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.41874146461486816},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4154793620109558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27873894572257996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1337256133556366},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.11606478691101074},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08847719430923462},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06946709752082825},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06922748684883118}],"concepts":[{"id":"https://openalex.org/C29155451","wikidata":"https://www.wikidata.org/wiki/Q3625450","display_name":"Syntagmatic analysis","level":2,"score":0.9881196022033691},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7123961448669434},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5869735479354858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5376762747764587},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5110090970993042},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.4920608401298523},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47449207305908203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46851301193237305},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4332406520843506},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.41874146461486816},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4154793620109558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27873894572257996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1337256133556366},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.11606478691101074},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08847719430923462},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06946709752082825},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06922748684883118}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/pra2.2015.1450520100122","is_oa":true,"landing_page_url":"https://doi.org/10.1002/pra2.2015.1450520100122","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pra2.2015.1450520100122","source":{"id":"https://openalex.org/S4393918545","display_name":"Proceedings of the Association for Information Science and Technology","issn_l":"2373-9231","issn":["2373-9231"],"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":"Proceedings of the Association for Information Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/pra2.2015.1450520100122","is_oa":true,"landing_page_url":"https://doi.org/10.1002/pra2.2015.1450520100122","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/pra2.2015.1450520100122","source":{"id":"https://openalex.org/S4393918545","display_name":"Proceedings of the Association for Information Science and Technology","issn_l":"2373-9231","issn":["2373-9231"],"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":"Proceedings of the Association for Information Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2463772340.pdf","grobid_xml":"https://content.openalex.org/works/W2463772340.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W41683454","https://openalex.org/W344243196","https://openalex.org/W388854203","https://openalex.org/W1512430500","https://openalex.org/W1536822721","https://openalex.org/W1836521361","https://openalex.org/W2072026461","https://openalex.org/W2091330866","https://openalex.org/W2100059775","https://openalex.org/W2168635677","https://openalex.org/W4211059094","https://openalex.org/W4211259197","https://openalex.org/W4253241674"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2351187795","https://openalex.org/W2380641910","https://openalex.org/W2589098947","https://openalex.org/W2093597205","https://openalex.org/W2389846579","https://openalex.org/W2392495745","https://openalex.org/W132250100","https://openalex.org/W2725657302","https://openalex.org/W2393185060"],"abstract_inverted_index":{"ABSTRACT":[0],"This":[1],"study":[2,185],"investigates":[3],"the":[4,18,25,35,38,42,50,86,93,114,130,133,138,141,151,161],"relationship":[5],"between":[6,53],"syntagmatic":[7,26,73],"and":[8,28,72,96,205],"paradigmatic":[9,30,51,70,104,134,153,174],"relations.":[10,105],"MeSH":[11,39,45,94],"(Medical":[12],"Subject":[13],"Headings)":[14],"descriptors":[15,58,89,120,149,163],"assigned":[16,57,162],"to":[17,23,101,110,121,158,171],"same":[19],"document":[20,61],"are":[21,32,90,156,164,168],"chosen":[22],"represent":[24],"relations":[27,31,52,71,74,135,154,175,192],"their":[29],"determined":[33,49],"using":[34],"structure":[36],"of":[37,44,56,85,88,119,132,140,148,183,190],"thesaurus.":[40],"With":[41],"help":[43,187],"tree":[46,115],"structure,":[47],"we":[48],"each":[54,60,123],"pair":[55,147],"for":[59,116,193],"(if":[62],"there":[63],"is":[64,79],"any).":[65],"The":[66,125,143,181],"results":[67,126],"show":[68,128],"that":[69,129],"can":[75,98,186],"coexist,":[76],"but":[77],"it":[78],"not":[80],"very":[81,165],"common.":[82],"Only":[83],"13.56%":[84],"pairs":[87,118],"connectable":[91],"on":[92,113,137],"tree,":[95],"thus":[97],"be":[99],"said":[100],"have":[102,172],"some":[103],"It":[106],"generally":[107],"takes":[108],"3":[109],"5":[111],"steps":[112],"these":[117],"reach":[122],"other.":[124],"also":[127],"strength":[131],"depends":[136],"specificity":[139],"descriptors.":[142],"more":[144],"specific":[145],"a":[146],"are,":[150],"stronger":[152],"they":[155,167],"likely":[157,170],"have.":[159],"When":[160],"general,":[166],"less":[169],"strong":[173],"(e.g.":[176],"parent\u2010child":[177],"or":[178],"siblings":[179],"relations).":[180],"findings":[182],"this":[184],"better":[188],"use":[189],"sematic":[191],"different":[194],"applications":[195],"such":[196],"as":[197],"ontology":[198],"construction,":[199],"information":[200,202],"extraction,":[201],"retrieval,":[203],"question\u2010answering,":[204],"text":[206],"summarization.":[207]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
