{"id":"https://openalex.org/W4286499283","doi":"https://doi.org/10.1007/s11192-022-04471-x","title":"SDCF: semi-automatically structured dataset of citation functions","display_name":"SDCF: semi-automatically structured dataset of citation functions","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286499283","doi":"https://doi.org/10.1007/s11192-022-04471-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11192-022-04471-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-022-04471-x","pdf_url":null,"source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s11192-022-04471-x","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078271017","display_name":"Setio Basuki","orcid":"https://orcid.org/0000-0001-6631-9880"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Setio Basuki","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, 1\u20131 Hibarigaoka, Tempakucho, Toyohashi, Aichi, 441-8580, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, 1\u20131 Hibarigaoka, Tempakucho, Toyohashi, Aichi, 441-8580, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047336359","display_name":"Masatoshi Tsuchiya","orcid":"https://orcid.org/0000-0003-1862-8149"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Tsuchiya","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, 1\u20131 Hibarigaoka, Tempakucho, Toyohashi, Aichi, 441-8580, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, 1\u20131 Hibarigaoka, Tempakucho, Toyohashi, Aichi, 441-8580, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078271017"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60453659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"127","issue":"8","first_page":"4569","last_page":"4608"},"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":0.9986000061035156,"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/T10260","display_name":"Software Engineering Research","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8274099230766296},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6843756437301636},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.594086766242981},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5768271684646606},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5578801035881042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5131691098213196},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43384796380996704},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4110007584095001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41019389033317566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3576994240283966},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07153385877609253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06401312351226807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274099230766296},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6843756437301636},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.594086766242981},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5768271684646606},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5578801035881042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131691098213196},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43384796380996704},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4110007584095001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41019389033317566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3576994240283966},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07153385877609253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06401312351226807},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11192-022-04471-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-022-04471-x","pdf_url":null,"source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:scient:v:127:y:2022:i:8:d:10.1007_s11192-022-04471-x","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11192-022-04471-x","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":{"id":"doi:10.1007/s11192-022-04471-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-022-04471-x","pdf_url":null,"source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W137498025","https://openalex.org/W211199866","https://openalex.org/W1580375566","https://openalex.org/W1799284535","https://openalex.org/W1995875735","https://openalex.org/W2028473264","https://openalex.org/W2053154970","https://openalex.org/W2075919249","https://openalex.org/W2084413241","https://openalex.org/W2088336913","https://openalex.org/W2104098232","https://openalex.org/W2108346833","https://openalex.org/W2117851822","https://openalex.org/W2120587524","https://openalex.org/W2128438887","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2250984714","https://openalex.org/W2470357793","https://openalex.org/W2493916176","https://openalex.org/W2566936870","https://openalex.org/W2806922180","https://openalex.org/W2808556605","https://openalex.org/W2898944884","https://openalex.org/W2899489554","https://openalex.org/W2901949610","https://openalex.org/W2941003925","https://openalex.org/W2951911250","https://openalex.org/W2954439602","https://openalex.org/W2962815673","https://openalex.org/W2963341956","https://openalex.org/W2964695853","https://openalex.org/W2968555928","https://openalex.org/W2970648715","https://openalex.org/W2970771982","https://openalex.org/W2975166839","https://openalex.org/W2987558058","https://openalex.org/W3009817544","https://openalex.org/W3014530524","https://openalex.org/W3034966589","https://openalex.org/W3037473073","https://openalex.org/W3082168107","https://openalex.org/W3105522431","https://openalex.org/W3120655260","https://openalex.org/W4211177367","https://openalex.org/W4234428019","https://openalex.org/W4245785204","https://openalex.org/W6731987836","https://openalex.org/W6748682970"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W1570025324","https://openalex.org/W2116902754","https://openalex.org/W376728115","https://openalex.org/W2166185180"],"abstract_inverted_index":{"Abstract":[0],"There":[1],"is":[2,14,109,114,246],"increasing":[3],"research":[4,63],"interest":[5],"in":[6,129,193,215],"the":[7,106,110,139,181,216,220,223,237,244,255,258,265],"automatic":[8],"detection":[9],"of":[10,17,36,39,53,79,86,102,125,156,254,260,269],"citation":[11,40,80,103],"functions,":[12,104],"which":[13,211,232],"why":[15],"authors":[16],"academic":[18],"papers":[19,121],"cite":[20],"previous":[21],"works.":[22],"A":[23],"machine":[24],"learning":[25,191],"approach":[26,73],"for":[27,145,158,163],"such":[28],"a":[29,32,46,50,71,76,98,194,228],"task":[30],"requires":[31,250],"large":[33,77],"dataset":[34,78,112,267],"consisting":[35,268],"varied":[37],"labels":[38,57,132,160],"functions.":[41],"However,":[42],"existing":[43],"datasets":[44],"contain":[45],"few":[47],"instances":[48,95,150],"and":[49,105,133,161,175],"limited":[51],"number":[52,259],"labels.":[54,136,165],"Furthermore,":[55],"most":[56],"have":[58],"been":[59],"built":[60,115],"using":[61,180],"narrow":[62],"fields.":[64],"Addressing":[65],"these":[66],"issues,":[67],"this":[68,262],"paper":[69,263],"proposes":[70],"semiautomatic":[72],"to":[74,96,177],"develop":[75,97],"functions":[81],"based":[82],"on":[83,148],"two":[84,141,170],"types":[85],"datasets.":[87],"The":[88,184],"first":[89,182],"type":[90,108],"contains":[91],"5668":[92],"manually":[93],"labeled":[94],"new":[99],"labeling":[100,118],"scheme":[101,119],"second":[107],"final":[111],"that":[113,151,200,243],"automatically.":[116],"Our":[117,197],"covers":[120],"from":[122,204],"various":[123],"areas":[124],"computer":[126],"science,":[127],"resulting":[128],"five":[130],"coarse":[131,159],"21":[134],"fine-grained":[135,164,176,221],"To":[137],"validate":[138],"scheme,":[140],"annotators":[142],"were":[143],"employed":[144],"annotation":[146],"experiments":[147,198],"421":[149],"produced":[152],"Cohen\u2019s":[153],"Kappa":[154],"values":[155],"0.85":[157],"0.71":[162],"Following":[166],"this,":[167],"we":[168],"performed":[169],"classification":[171,185],"stages,":[172],"i.e.,":[173],"filtering,":[174],"build":[178],"models":[179],"dataset.":[183,256],"followed":[186],"several":[187],"scenarios,":[188],"including":[189],"active":[190],"(AL)":[192],"low-resource":[195],"setting.":[196],"show":[199,242],"Bidirectional":[201],"Encoder":[202],"Representations":[203],"Transformers":[205],"(BERT)-based":[206],"AL":[207,225,245],"achieved":[208,227],"90.29%":[209],"accuracy,":[210,231],"outperformed":[212],"other":[213],"methods":[214],"filtering":[217],"stage.":[218],"In":[219],"stage,":[222],"SciBERT-based":[224],"strategy":[226],"competitive":[229],"81.15%":[230],"was":[233],"slightly":[234],"lower":[235],"than":[236,252],"non-AL":[238],"strategy.":[239],"These":[240],"results":[241],"promising":[247],"since":[248],"it":[249],"less":[251],"half":[253],"Considering":[257],"labels,":[261],"released":[264],"largest":[266],"1,840,815":[270],"instances.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
