{"id":"https://openalex.org/W4385482868","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191421","title":"Repr2Seq: A Data-to-Text Generation Model for Time Series","display_name":"Repr2Seq: A Data-to-Text Generation Model for Time Series","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482868","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191421"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191421","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191421","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/A5076707078","display_name":"Yi Li","orcid":"https://orcid.org/0000-0001-6123-3949"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102798296","display_name":"Yuxuan Gao","orcid":"https://orcid.org/0000-0002-8510-5818"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Gao","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112972469","display_name":"Jianyi Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyi Cai","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112623247","display_name":"Guoxiang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxiang Zheng","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111221890","display_name":"Hanlin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlin Shi","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026587704","display_name":"Xiping Liu","orcid":"https://orcid.org/0000-0002-0230-8004"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiping Liu","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics,Nanchang,China","institution_ids":["https://openalex.org/I59649739"]},{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076707078"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08557121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1703 9902","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7768893241882324},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6781283617019653},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6191439032554626},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5957217812538147},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5869115591049194},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.5394428968429565},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5073627829551697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4708782136440277},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.468110054731369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4643583297729492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4372154176235199},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07631132006645203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768893241882324},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6781283617019653},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6191439032554626},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5957217812538147},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5869115591049194},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.5394428968429565},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5073627829551697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4708782136440277},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.468110054731369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4643583297729492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4372154176235199},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07631132006645203},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191421","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191421","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/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2693408033","display_name":null,"funder_award_id":"62076112,62272205,62272206,62272207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W34835763","https://openalex.org/W1498436455","https://openalex.org/W1499049447","https://openalex.org/W1899504021","https://openalex.org/W1997336782","https://openalex.org/W2064675550","https://openalex.org/W2066796814","https://openalex.org/W2107878631","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2150355110","https://openalex.org/W2157331557","https://openalex.org/W2163216821","https://openalex.org/W2164079290","https://openalex.org/W2164274563","https://openalex.org/W2604799547","https://openalex.org/W2945706894","https://openalex.org/W2950351882","https://openalex.org/W2962905474","https://openalex.org/W2963091658","https://openalex.org/W2963592583","https://openalex.org/W2971121529","https://openalex.org/W3169661950","https://openalex.org/W3188872815","https://openalex.org/W3190152617","https://openalex.org/W3199148273","https://openalex.org/W4242702158","https://openalex.org/W4247160275","https://openalex.org/W4385245566","https://openalex.org/W6601369054","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6687768286","https://openalex.org/W6735694051","https://openalex.org/W6739901393","https://openalex.org/W6750620105","https://openalex.org/W6754937296","https://openalex.org/W6759891849","https://openalex.org/W6788705105","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W4288388567"],"abstract_inverted_index":{"Data-to-text":[0],"generation":[1,51],"takes":[2],"structured":[3],"data":[4,14,35],"as":[5,15,32],"input":[6],"and":[7,29,61,103,118,136],"produces":[8],"text":[9,88],"that":[10,110],"sufficiently":[11],"describes":[12],"the":[13,59,92,129,134],"output.":[16],"Recently,":[17],"it":[18],"has":[19],"received":[20],"a":[21,33,49,82,96],"lot":[22],"of":[23,64,94,99,131],"attention":[24],"from":[25],"both":[26],"research":[27],"field":[28],"industry.":[30],"However,":[31],"critical":[34],"form,":[36],"time":[37,54,65,72],"series":[38,73,102],"is":[39,106],"less":[40],"discussed":[41],"in":[42,140],"this":[43],"domain.":[44],"This":[45],"paper":[46],"proposes":[47],"Repr2Seq,":[48,95],"data-to-text":[50],"model":[52,85,135],"for":[53],"series.":[55],"To":[56,90],"better":[57],"capture":[58],"structure":[60],"core":[62],"information":[63],"series,":[66],"Repr2Seq":[67,111],"obtains":[68],"representation":[69,74],"vectors":[70],"using":[71],"learning":[75],"methods,":[76],"which":[77],"are":[78],"then":[79],"fed":[80],"into":[81],"neural":[83],"network-based":[84],"to":[86,120,127],"generate":[87],"sequences.":[89],"demonstrate":[91],"effectiveness":[93],"dataset":[97],"consisting":[98],"stock":[100],"price":[101],"corresponding":[104],"comments":[105],"proposed.":[107],"Experiments":[108],"show":[109],"achieves":[112],"significant":[113],"improvement":[114],"over":[115],"standard":[116],"approaches":[117],"leads":[119],"satisfactory":[121],"results.":[122],"We":[123],"also":[124],"conduct":[125],"experiments":[126],"investigate":[128],"effect":[130],"hyperparameters":[132],"on":[133],"detect":[137],"performance":[138],"improvements":[139],"various":[141],"settings.":[142]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}