{"id":"https://openalex.org/W4396978138","doi":"https://doi.org/10.1162/coli_a_00519","title":"Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation","display_name":"Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396978138","doi":"https://doi.org/10.1162/coli_a_00519"},"language":"en","primary_location":{"id":"doi:10.1162/coli_a_00519","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00519","pdf_url":null,"source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1162/coli_a_00519","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092249452","display_name":"Ran Zhang","orcid":"https://orcid.org/0000-0003-0715-9121"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ran Zhang","raw_affiliation_strings":["Natural Language Learning Group (NLLG), School of Business Informatics and Mathematics, University of Mannheim. ran.zhang@uni-mannheim.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Natural Language Learning Group (NLLG), School of Business Informatics and Mathematics, University of Mannheim. ran.zhang@uni-mannheim.de","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083112937","display_name":"Jihed Ouni","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jihed Ouni","raw_affiliation_strings":["Fachbereich Informatik, Technische Universit\u00e4t Darmstadt. jihed.ouni@stud.tu-darmstadt.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fachbereich Informatik, Technische Universit\u00e4t Darmstadt. jihed.ouni@stud.tu-darmstadt.de","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053947568","display_name":"Steffen Eger","orcid":"https://orcid.org/0000-0003-4663-8336"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Eger","raw_affiliation_strings":["Natural Language Learning Group (NLLG), School of Business Informatics and Mathematics, University of Mannheim. steffen.eger@uni-mannheim.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Natural Language Learning Group (NLLG), School of Business Informatics and Mathematics, University of Mannheim. steffen.eger@uni-mannheim.de","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7995,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86283688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"50","issue":"3","first_page":"1001","last_page":"1047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9947999715805054,"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":0.7687332034111023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5897006988525391},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5740235447883606},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4273827075958252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41405919194221497}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7687332034111023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5897006988525391},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5740235447883606},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4273827075958252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41405919194221497}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/coli_a_00519","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00519","pdf_url":null,"source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a70152a9aa947f189b6593fd76ee9f4","is_oa":true,"landing_page_url":"https://doaj.org/article/7a70152a9aa947f189b6593fd76ee9f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Linguistics, Vol 50, Iss 3 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/coli_a_00519","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00519","pdf_url":null,"source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8500000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":118,"referenced_works":["https://openalex.org/W105720630","https://openalex.org/W616813130","https://openalex.org/W647601101","https://openalex.org/W1981276685","https://openalex.org/W2158600149","https://openalex.org/W2181523240","https://openalex.org/W2250342921","https://openalex.org/W2251834758","https://openalex.org/W2337045451","https://openalex.org/W2508578776","https://openalex.org/W2547055850","https://openalex.org/W2601979355","https://openalex.org/W2733628661","https://openalex.org/W2741138687","https://openalex.org/W2753392522","https://openalex.org/W2887428522","https://openalex.org/W2896819836","https://openalex.org/W2935760417","https://openalex.org/W2945465739","https://openalex.org/W2951265142","https://openalex.org/W2962849707","https://openalex.org/W2963285936","https://openalex.org/W2963780471","https://openalex.org/W2964022663","https://openalex.org/W2970785793","https://openalex.org/W2971139875","https://openalex.org/W2982188363","https://openalex.org/W3015468748","https://openalex.org/W3021480884","https://openalex.org/W3034188538","https://openalex.org/W3034378323","https://openalex.org/W3034993603","https://openalex.org/W3034999214","https://openalex.org/W3035582413","https://openalex.org/W3035628162","https://openalex.org/W3037109418","https://openalex.org/W3046368065","https://openalex.org/W3093871477","https://openalex.org/W3098136301","https://openalex.org/W3098960752","https://openalex.org/W3100806282","https://openalex.org/W3101017384","https://openalex.org/W3102690631","https://openalex.org/W3106445907","https://openalex.org/W3153444823","https://openalex.org/W3159259047","https://openalex.org/W3170490008","https://openalex.org/W3172540065","https://openalex.org/W3172805677","https://openalex.org/W3175689281","https://openalex.org/W3176112445","https://openalex.org/W3177140869","https://openalex.org/W3201266869","https://openalex.org/W3213990450","https://openalex.org/W4206208161","https://openalex.org/W4220861990","https://openalex.org/W4221141894","https://openalex.org/W4225934689","https://openalex.org/W4240516530","https://openalex.org/W4240588317","https://openalex.org/W4283830961","https://openalex.org/W4284703357","https://openalex.org/W4285110265","https://openalex.org/W4285131722","https://openalex.org/W4285222512","https://openalex.org/W4286631753","https://openalex.org/W4287704453","https://openalex.org/W4287854583","https://openalex.org/W4292779060","https://openalex.org/W4297435087","https://openalex.org/W4309674289","https://openalex.org/W4321276803","https://openalex.org/W4362508241","https://openalex.org/W4362679631","https://openalex.org/W4368304377","https://openalex.org/W4383473945","https://openalex.org/W4384211370","https://openalex.org/W4385569799","https://openalex.org/W4385571232","https://openalex.org/W4385572990","https://openalex.org/W4385573073","https://openalex.org/W4385574121","https://openalex.org/W4386566537","https://openalex.org/W4386566861","https://openalex.org/W4386576863","https://openalex.org/W4389518953","https://openalex.org/W4389519254","https://openalex.org/W4389519421","https://openalex.org/W4389519799","https://openalex.org/W4389519918","https://openalex.org/W4389520163","https://openalex.org/W4392454577","https://openalex.org/W4392669753","https://openalex.org/W6604430330","https://openalex.org/W6633114169","https://openalex.org/W6678965690","https://openalex.org/W6682631176","https://openalex.org/W6684384574","https://openalex.org/W6719005571","https://openalex.org/W6728921441","https://openalex.org/W6761205521","https://openalex.org/W6763600655","https://openalex.org/W6771915120","https://openalex.org/W6776048684","https://openalex.org/W6778883912","https://openalex.org/W6781533629","https://openalex.org/W6781811055","https://openalex.org/W6784447870","https://openalex.org/W6784583603","https://openalex.org/W6788663293","https://openalex.org/W6797816506","https://openalex.org/W6843135089","https://openalex.org/W6850378476","https://openalex.org/W6851357555","https://openalex.org/W6851458898","https://openalex.org/W6852731312","https://openalex.org/W6854054124","https://openalex.org/W6861381738"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W2351187795","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Abstract":[0],"While":[1],"summarization":[2,14,198],"has":[3,22],"been":[4],"extensively":[5],"researched":[6],"in":[7,77,157,165],"natural":[8],"language":[9,238],"processing":[10],"(NLP),":[11],"cross-lingual":[12],"cross-temporal":[13],"(CLCTS)":[15],"is":[16],"a":[17,102,135,197],"largely":[18],"unexplored":[19],"area":[20],"that":[21,120,169,222,258],"the":[23,35,47,83,97,187,248,251,260],"potential":[24,98,271],"to":[25,128,140,179,242],"improve":[26],"cross-cultural":[27],"accessibility":[28],"and":[29,42,61,74,79,104,111,209,225,262],"understanding.":[30],"This":[31],"article":[32],"comprehensively":[33],"addresses":[34],"CLCTS":[36,49,252],"task,":[37],"including":[38],"dataset":[39],"creation,":[40],"modeling,":[41],"evaluation.":[43],"We":[44],"(1)":[45],"build":[46],"first":[48],"corpus":[50],"with":[51,58,67,90,196,266],"328":[52],"instances":[53],"for":[54,63,174,202,206,211,236,244,272],"hDe-En":[55],"(extended":[56,65],"version":[57,66],"455":[59],"instances)":[60],"289":[62],"hEn-De":[64],"501":[68],"instances),":[69],"leveraging":[70],"historical":[71,151,237],"fiction":[72],"texts":[73,229],"Wikipedia":[75],"summaries":[76,131],"English":[78],"German;":[80],"(2)":[81],"examine":[82],"effectiveness":[84],"of":[85,99,200,218,231,250],"popular":[86],"transformer":[87],"end-to-end":[88,124],"models":[89,125],"different":[91],"intermediate":[92,121],"fine-tuning":[93],"tasks;":[94],"(3)":[95],"explore":[96],"GPT-3.5":[100,144,170],"as":[101,134],"summarizer;":[103],"(4)":[105],"report":[106],"evaluations":[107],"from":[108],"humans,":[109],"GPT-4,":[110],"several":[112],"recent":[113],"automatic":[114],"evaluation":[115],"metrics.":[116],"Our":[117],"results":[118,217],"indicate":[119],"task":[122],"fine-tuned":[123],"generate":[126],"bad":[127],"moderate":[129,139],"quality":[130,142],"while":[132],"GPT-3.5,":[133,158],"zero-shot":[136],"summarizer,":[137],"provides":[138],"good":[141],"outputs.":[143],"also":[145],"seems":[146],"very":[147],"adept":[148],"at":[149],"normalizing":[150],"text.":[152],"To":[153],"assess":[154],"data":[155],"contamination":[156],"we":[159,167,256],"design":[160],"an":[161],"adversarial":[162],"attack":[163],"scheme":[164],"which":[166,232],"find":[168],"performs":[171],"slightly":[172],"worse":[173],"unseen":[175],"source":[176,188,228],"documents":[177],"compared":[178],"seen":[180],"documents.":[181],"Moreover,":[182],"it":[183],"sometimes":[184],"hallucinates":[185],"when":[186],"sentences":[189],"are":[190,233,240],"inverted":[191],"against":[192],"its":[193],"prior":[194],"knowledge":[195],"accuracy":[199],"0.67":[201],"plot":[203,212],"omission,":[204],"0.71":[205],"entity":[207],"swap,":[208],"0.53":[210],"negation.":[213],"Overall,":[214],"our":[215],"regression":[216],"model":[219],"performances":[220],"suggest":[221],"longer,":[223],"older,":[224],"more":[226,234],"complex":[227],"(all":[230],"characteristic":[235],"variants)":[239],"harder":[241],"summarize":[243],"all":[245],"models,":[246],"indicating":[247],"difficulty":[249],"task.":[253],"Regarding":[254],"evaluation,":[255],"observe":[257],"both":[259],"GPT-4":[261],"BERTScore":[263],"correlate":[264],"moderately":[265],"human":[267],"evaluations,":[268],"implicating":[269],"great":[270],"future":[273],"improvement.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}