{"id":"https://openalex.org/W4385478005","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191854","title":"RulePG: Syntactic Rule-enhanced Paraphrase Generation","display_name":"RulePG: Syntactic Rule-enhanced Paraphrase Generation","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385478005","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191854"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191854","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5111094135","display_name":"Jian Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Lan","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China","College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071925203","display_name":"Mingfeng Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingfeng Xue","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China","College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073535763","display_name":"Jiancheng Lv","orcid":"https://orcid.org/0000-0001-6551-3884"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Lv","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China","College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111094135"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08380663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9839000105857849,"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/paraphrase","display_name":"Paraphrase","score":0.9293030500411987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8845779895782471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720785915851593},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6865642070770264},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5720479488372803},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5682756900787354},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5587476491928101},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5180256962776184},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5114578008651733},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44450920820236206},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4115142822265625},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3680640459060669},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12916257977485657}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.9293030500411987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8845779895782471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720785915851593},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6865642070770264},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5720479488372803},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5682756900787354},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5587476491928101},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5180256962776184},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5114578008651733},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44450920820236206},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4115142822265625},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3680640459060669},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12916257977485657},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191854","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2131726681","https://openalex.org/W2252001469","https://openalex.org/W2798542795","https://openalex.org/W2896457183","https://openalex.org/W2936695845","https://openalex.org/W2949832505","https://openalex.org/W2950733407","https://openalex.org/W2963126845","https://openalex.org/W2963532001","https://openalex.org/W2964053384","https://openalex.org/W2970641574","https://openalex.org/W3040809437","https://openalex.org/W3155012303","https://openalex.org/W3176490950","https://openalex.org/W3187467055","https://openalex.org/W3197133407","https://openalex.org/W3199834251","https://openalex.org/W3204697369","https://openalex.org/W4206727248","https://openalex.org/W4206732210","https://openalex.org/W4220923972","https://openalex.org/W4280581589","https://openalex.org/W4285150129","https://openalex.org/W4312955273","https://openalex.org/W4385245566","https://openalex.org/W6679492327","https://openalex.org/W6691779535","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6761205521","https://openalex.org/W6796102422","https://openalex.org/W6809941982"],"related_works":["https://openalex.org/W4321512656","https://openalex.org/W2293063786","https://openalex.org/W4206537394","https://openalex.org/W2911292476","https://openalex.org/W4385718007","https://openalex.org/W4288263119","https://openalex.org/W3015724364","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711"],"abstract_inverted_index":{"The":[0],"deep":[1],"neural":[2],"network":[3],"(DNN)":[4],"has":[5,105],"become":[6],"prevailing":[7],"for":[8,102,163,171,178],"paraphrase":[9,164],"generation":[10,139],"(PG),":[11],"a":[12,77,86,91],"widely":[13],"studied":[14],"task":[15],"in":[16,41,80],"natural":[17],"language":[18],"processing.":[19],"Even":[20],"though":[21],"the":[22,45,49,59,64,106,136,138,166,182,185,199,207],"DNN":[23,51],"models":[24,52],"have":[25],"shown":[26],"impressive":[27],"performances,":[28],"they":[29],"are":[30],"still":[31],"far":[32],"from":[33,54],"generating":[34],"desired":[35],"paraphrases":[36],"that":[37,121,206],"require":[38,128],"sufficient":[39],"diversity":[40],"wording":[42,110],"while":[43,112],"keeping":[44],"correct":[46],"semantics.":[47],"Meanwhile,":[48],"large":[50],"suffer":[53],"significant":[55],"cost":[56],"of":[57,61,108,147,156,187,201],"training,":[58],"difficulty":[60],"reproducibility,":[62],"and":[63,68,75,115,125,152,180,195,204],"black-box":[65],"training":[66,130],"process,":[67],"thus":[69],"make":[70,153],"it":[71,122],"hard":[72],"to":[73],"generalize":[74],"implement":[76],"novel":[78],"model":[79],"other":[81],"works.":[82],"Therefore,":[83],"we":[84,158],"propose":[85],"simple":[87],"but":[88],"effective":[89],"alternative:":[90],"post-hoc":[92,118],"method":[93,203],"called":[94],"RulePG,":[95],"which":[96],"is":[97,116,123,141],"based":[98],"on":[99,192],"syntactic":[100,168],"rules":[101,162],"PG.":[103,172],"It":[104],"advantages":[107],"improving":[109],"diversities":[111],"preserving":[113],"semantics,":[114],"designed":[117],"manner":[119],"so":[120],"model-agnostic":[124],"would":[126],"not":[127],"extra":[129],"when":[131],"utilized.":[132],"Moreover,":[133],"instructed":[134],"by":[135],"rules,":[137,157],"process":[140],"more":[142],"interpretable":[143],"with":[144,184],"explicit":[145],"control":[146],"sentence":[148],"forms.":[149],"To":[150],"gain":[151],"full":[154],"use":[155],"construct":[159],"SRPG":[160,179],"(syntactic":[161],"generation),":[165],"first":[167],"rule":[169],"set":[170],"We":[173],"novelly":[174],"build":[175],"semantic":[176,188],"representations":[177],"endow":[181],"RulePG":[183,208],"capacity":[186],"understanding.":[189],"Automatic":[190],"evaluation":[191],"various":[193],"metrics":[194],"human":[196],"evaluations":[197],"demonstrate":[198],"effectiveness":[200],"our":[202],"show":[205],"reaches":[209],"new":[210],"state-of-the-art":[211],"performances.":[212]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
