{"id":"https://openalex.org/W4389683913","doi":"https://doi.org/10.1007/s11192-023-04811-5","title":"A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification","display_name":"A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389683913","doi":"https://doi.org/10.1007/s11192-023-04811-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11192-023-04811-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-023-04811-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11192-023-04811-5.pdf","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://link.springer.com/content/pdf/10.1007/s11192-023-04811-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081072666","display_name":"Tirthankar Ghosal","orcid":"https://orcid.org/0000-0002-2358-522X"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Tirthankar Ghosal","raw_affiliation_strings":["Faculty of Mathematics and Physics, Institute of Formal And Applied Linguistics, Charles University, Malostransk\u00e9 n\u00e1m\u011bst\u00ed 25, 11800, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-2358-522X","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Physics, Institute of Formal And Applied Linguistics, Charles University, Malostransk\u00e9 n\u00e1m\u011bst\u00ed 25, 11800, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072628147","display_name":"Kamal Kaushik Varanasi","orcid":null},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamal Kaushik Varanasi","raw_affiliation_strings":["Department of Civil Engineering, Indian Institute of Technology Patna, Bihta, Patna, Bihar, 801106, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Indian Institute of Technology Patna, Bihta, Patna, Bihar, 801106, India","institution_ids":["https://openalex.org/I132153292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024070022","display_name":"Valia Kordoni","orcid":null},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Valia Kordoni","raw_affiliation_strings":["Department of English and American Studies, Humboldt University Berlin, Unter den Linden 6, 10099, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of English and American Studies, Humboldt University Berlin, Unter den Linden 6, 10099, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081072666"],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.994,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8150885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"129","issue":"2","first_page":"767","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9908000230789185,"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":0.9821000099182129,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8311209678649902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8250342607498169},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.7990398406982422},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6511616706848145},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6186420321464539},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6163785457611084},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5649902820587158},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5517626404762268},{"id":"https://openalex.org/keywords/citation-analysis","display_name":"Citation analysis","score":0.4227387309074402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40549471974372864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35714417695999146},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18541425466537476}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8311209678649902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250342607498169},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7990398406982422},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6511616706848145},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6186420321464539},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6163785457611084},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5649902820587158},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5517626404762268},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.4227387309074402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40549471974372864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35714417695999146},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18541425466537476},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11192-023-04811-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-023-04811-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11192-023-04811-5.pdf","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:129:y:2024:i:2:d:10.1007_s11192-023-04811-5","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11192-023-04811-5","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/s11192-023-04811-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-023-04811-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11192-023-04811-5.pdf","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389683913.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W767067438","https://openalex.org/W1491247056","https://openalex.org/W1665214252","https://openalex.org/W1973867393","https://openalex.org/W2034800299","https://openalex.org/W2064675550","https://openalex.org/W2088336913","https://openalex.org/W2095705004","https://openalex.org/W2136231993","https://openalex.org/W2148143831","https://openalex.org/W2150569271","https://openalex.org/W2163662673","https://openalex.org/W2250539671","https://openalex.org/W2334930053","https://openalex.org/W2554061526","https://openalex.org/W2604428113","https://openalex.org/W2808556605","https://openalex.org/W2913340405","https://openalex.org/W2962739339","https://openalex.org/W2962815673","https://openalex.org/W2970771982","https://openalex.org/W3034966589","https://openalex.org/W3097998903","https://openalex.org/W3128923306","https://openalex.org/W3168934600","https://openalex.org/W4301033248"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W4306886878","https://openalex.org/W4323520239"],"abstract_inverted_index":{"Abstract":[0],"Citations":[1],"are":[2,19],"crucial":[3],"artifacts":[4],"to":[5,9,12,45,60,197],"provide":[6],"additional":[7],"information":[8,112,121,159],"the":[10,14,30,33,49,55,73,82,86,91,95,110,114,118,123,131,138,172,182,186,198,202],"reader":[11],"comprehend":[13],"research":[15,115],"under":[16],"concern.":[17],"There":[18],"different":[20],"roles":[21],"that":[22,108,155,162],"citations":[23,34,62],"play":[24],"in":[25,52,85,181,201],"scientific":[26,53],"discourse.":[27],"Correctly":[28],"identifying":[29],"intent":[31,74],"of":[32,75,94,113,126,133,140,179],"finds":[35],"applications":[36],"ranging":[37],"from":[38],"predicting":[39],"scholarly":[40],"impact,":[41],"finding":[42],"idea":[43],"propagation,":[44],"text":[46],"summarization.":[47],"With":[48],"rapid":[50],"growth":[51],"literature,":[54],"need":[56],"for":[57,122,143],"automated":[58],"methods":[59],"classify":[61],"is":[63],"now":[64],"growing":[65],"intense.":[66],"However,":[67],"we":[68,79,101],"can":[69],"only":[70],"fully":[71],"understand":[72],"a":[76,103,168],"citation":[77,83,127,144,151],"if":[78],"look":[80],"at":[81,217],"context":[84],"citing":[87],"paper":[88,158],"and":[89,117],"also":[90,191],"primary":[92],"purpose":[93],"cited":[96,119,157],"article.":[97],"In":[98],"this":[99],"work,":[100],"propose":[102],"neural":[104,165],"multi-task":[105],"learning":[106],"framework":[107],"harnesses":[109],"structural":[111],"papers":[116],"paper\u2019s":[120],"effective":[124],"classification":[125,152],"intents.":[128],"We":[129,190,212],"analyze":[130],"impact":[132],"three":[134,149],"auxiliary":[135],"tasks":[136],"on":[137,148,171,208],"performance":[139,194],"our":[141,163,214],"approach":[142],"classification.":[145],"Our":[146],"experiments":[147],"benchmark":[150],"datasets":[153],"show":[154],"incorporating":[156],"(title)":[160],"shows":[161],"deep":[164],"model":[166],"achieves":[167],"new":[169],"state-of-the-art":[170],"ACL-ARC":[173],"dataset":[174],"with":[175,195],"an":[176],"absolute":[177],"increase":[178],"5.3%":[180],"F1":[183],"score":[184],"over":[185],"previous":[187],"best":[188],"model.":[189],"achieve":[192],"comparable":[193],"respect":[196],"best-performing":[199],"systems":[200],"SDP":[203],"2021":[204],"3C":[205],"Shared":[206],"task":[207],"Citation":[209],"Context":[210],"Classification.":[211],"make":[213],"codes":[215],"available":[216],"https://github.com/Tirthankar-Ghosal/citationclassification-SCIM":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}