{"id":"https://openalex.org/W4405812258","doi":"https://doi.org/10.1109/tbdata.2024.3522805","title":"Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation","display_name":"Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation","publication_year":2024,"publication_date":"2024-12-26","ids":{"openalex":"https://openalex.org/W4405812258","doi":"https://doi.org/10.1109/tbdata.2024.3522805"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3522805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3522805","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090083168","display_name":"Liner Yang","orcid":"https://orcid.org/0000-0001-8364-7165"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liner Yang","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115661837","display_name":"Jiaxin Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Yuan","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065768434","display_name":"Cunliang Kong","orcid":"https://orcid.org/0000-0002-5356-3451"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunliang Kong","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115661838","display_name":"Jingsi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsi Yu","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056455560","display_name":"Ruining Chong","orcid":null},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruining Chong","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106671208","display_name":"Zhenghao Liu","orcid":"https://orcid.org/0000-0003-0083-3224"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghao Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China","School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104035860","display_name":"Erhong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erhong Yang","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University, Beijing, China","institution_ids":["https://openalex.org/I115212828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090083168"],"corresponding_institution_ids":["https://openalex.org/I115212828"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29114005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"4","first_page":"2061","last_page":"2071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.4226999878883362,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.4226999878883362,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.4174000024795532,"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/computer-science","display_name":"Computer science","score":0.8059749603271484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8059749603271484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3522805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3522805","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1731542712","https://openalex.org/W2000255081","https://openalex.org/W2041219519","https://openalex.org/W2052960128","https://openalex.org/W2078861931","https://openalex.org/W2079560081","https://openalex.org/W2101105183","https://openalex.org/W2130736456","https://openalex.org/W2534253848","https://openalex.org/W2798287132","https://openalex.org/W2808437126","https://openalex.org/W2896457183","https://openalex.org/W2944931850","https://openalex.org/W2952335829","https://openalex.org/W2962753250","https://openalex.org/W2962788902","https://openalex.org/W2963825865","https://openalex.org/W2964303159","https://openalex.org/W2964352131","https://openalex.org/W2965962253","https://openalex.org/W3013475774","https://openalex.org/W3034425996","https://openalex.org/W3034459399","https://openalex.org/W3034795928","https://openalex.org/W3035068386","https://openalex.org/W3082549344","https://openalex.org/W3085190015","https://openalex.org/W3089025530","https://openalex.org/W3099066892","https://openalex.org/W3099852471","https://openalex.org/W3099872554","https://openalex.org/W3100099003","https://openalex.org/W3100806282","https://openalex.org/W3102401511","https://openalex.org/W3103639864","https://openalex.org/W3104336196","https://openalex.org/W3104547018","https://openalex.org/W3123055691","https://openalex.org/W3158172841","https://openalex.org/W3174037047","https://openalex.org/W3176618728","https://openalex.org/W3177468621","https://openalex.org/W3197754201","https://openalex.org/W3199824684","https://openalex.org/W3213558603","https://openalex.org/W4205275361","https://openalex.org/W4205635927","https://openalex.org/W4221144473","https://openalex.org/W4221155604","https://openalex.org/W4231068634","https://openalex.org/W4285246514","https://openalex.org/W4285287005","https://openalex.org/W4287854808","https://openalex.org/W4287887760","https://openalex.org/W4361214654","https://openalex.org/W4381706054","https://openalex.org/W4381747849","https://openalex.org/W4385572837","https://openalex.org/W4385573040","https://openalex.org/W4386735666","https://openalex.org/W6630877349","https://openalex.org/W6687045409","https://openalex.org/W6729110096","https://openalex.org/W6754605101","https://openalex.org/W6756637132","https://openalex.org/W6763009203","https://openalex.org/W6763185030","https://openalex.org/W6766571777","https://openalex.org/W6766673545","https://openalex.org/W6768028577","https://openalex.org/W6768403765","https://openalex.org/W6769311223","https://openalex.org/W6769627184","https://openalex.org/W6770035053","https://openalex.org/W6771522293","https://openalex.org/W6772016565","https://openalex.org/W6774652807","https://openalex.org/W6778883912","https://openalex.org/W6784168570","https://openalex.org/W6793959148","https://openalex.org/W6810738896","https://openalex.org/W6842963854","https://openalex.org/W6853586838"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,161],"task":[1,19,41],"of":[2,48,57],"complexity-controllable":[3],"definition":[4,51,110],"generation":[5,170],"refers":[6],"to":[7,23,45,148,167],"providing":[8],"definitions":[9,90,142],"with":[10],"different":[11],"readability":[12],"for":[13,39,97,107,151],"words":[14],"in":[15],"specific":[16],"contexts.":[17],"This":[18],"can":[20,92,122],"be":[21,175],"utilized":[22,147],"help":[24],"language":[25,32],"learners":[26],"eliminate":[27],"reading":[28],"barriers":[29],"and":[30,53,73,88,91,157,171],"facilitate":[31],"acquisition.":[33],"However,":[34],"the":[35,46,54,71,120,124,128,134],"available":[36],"training":[37],"data":[38,52,58],"this":[40],"remains":[42],"scarce":[43],"due":[44],"difficulty":[47],"obtaining":[49,154],"reliable":[50],"high":[55],"cost":[56],"standardization.":[59],"To":[60],"tackle":[61],"those":[62],"challenges,":[63],"we":[64,101,132],"introduce":[65],"a":[66,78,95,103,114],"general":[67],"solution":[68],"from":[69,127],"both":[70,86],"data-driven":[72],"method-driven":[74],"perspectives.":[75],"We":[76],"construct":[77,149],"large-scale":[79],"standard":[80],"Chinese":[81],"dataset,":[82],"COMPILING,":[83],"which":[84],"contains":[85],"difficult":[87],"simple":[89,141],"serve":[93],"as":[94],"benchmark":[96],"future":[98],"research.":[99],"Besides,":[100],"propose":[102,133],"multitasking":[104],"framework":[105,121],"SimpDefiner":[106,135,145],"unsupervised":[108],"controllable":[109,169],"generation.":[111],"By":[112],"designing":[113],"parameter-sharing":[115],"scheme":[116],"between":[117],"two":[118],"decoders,":[119],"extract":[123],"complexity":[125],"information":[126],"non-parallel":[129],"corpus.":[130],"Moreover,":[131],"guided":[136],"prompting":[137],"(SGP)":[138],"method,":[139],"where":[140],"generated":[143],"by":[144],"are":[146],"prompts":[150],"GPT-4,":[152],"hence":[153],"more":[155],"realistic":[156],"contextually":[158],"appropriate":[159],"definitions.":[160],"results":[162,173],"demonstrate":[163],"SimpDefiner's":[164],"outstanding":[165],"ability":[166],"achieve":[168],"better":[172],"could":[174],"achieved":[176],"when":[177],"GPT-4":[178],"is":[179],"incorporated.":[180]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}