{"id":"https://openalex.org/W2886314647","doi":"https://doi.org/10.1109/ijcnn.2018.8489579","title":"A Multi-Modal Chinese Poetry Generation Model","display_name":"A Multi-Modal Chinese Poetry Generation Model","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2886314647","doi":"https://doi.org/10.1109/ijcnn.2018.8489579","mag":"2886314647"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.09792","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062188134","display_name":"Dayiheng Liu","orcid":"https://orcid.org/0000-0002-8755-8941"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dayiheng Liu","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112307326","display_name":"Quan Guo","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Guo","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050050390","display_name":"Wubo Li","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wubo Li","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China","institution_ids":["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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Lv","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science Sichuan University, Chengdu, P. R., China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062188134"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":3.2151,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9356264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9973999857902527,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/poetry","display_name":"Poetry","score":0.8213881254196167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406539916992188},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6922715306282043},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5754328370094299},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5390623807907104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5363416075706482},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5127543210983276},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47769978642463684},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46723705530166626},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4495283365249634},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4325975179672241},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.41323524713516235},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41119953989982605},{"id":"https://openalex.org/keywords/chinese-poetry","display_name":"Chinese poetry","score":0.410065621137619},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3506243824958801},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.3075578212738037},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.2507636547088623},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.15616720914840698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12282311916351318}],"concepts":[{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.8213881254196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406539916992188},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6922715306282043},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5754328370094299},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5390623807907104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5363416075706482},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5127543210983276},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47769978642463684},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46723705530166626},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4495283365249634},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4325975179672241},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.41323524713516235},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41119953989982605},{"id":"https://openalex.org/C541865764","wikidata":"https://www.wikidata.org/wiki/Q1069928","display_name":"Chinese poetry","level":3,"score":0.410065621137619},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3506243824958801},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3075578212738037},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.2507636547088623},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.15616720914840698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12282311916351318},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1806.09792","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.09792","pdf_url":"https://arxiv.org/pdf/1806.09792","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.09792","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.09792","pdf_url":"https://arxiv.org/pdf/1806.09792","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W12732426","https://openalex.org/W179875071","https://openalex.org/W197120736","https://openalex.org/W1522301498","https://openalex.org/W1902237438","https://openalex.org/W1933340426","https://openalex.org/W2026351760","https://openalex.org/W2058373514","https://openalex.org/W2059488546","https://openalex.org/W2097117768","https://openalex.org/W2097732278","https://openalex.org/W2108598243","https://openalex.org/W2115221470","https://openalex.org/W2125951304","https://openalex.org/W2126410802","https://openalex.org/W2130942839","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2146053064","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2168927743","https://openalex.org/W2183341477","https://openalex.org/W2189246496","https://openalex.org/W2212703438","https://openalex.org/W2250375909","https://openalex.org/W2335943576","https://openalex.org/W2340329281","https://openalex.org/W2402268235","https://openalex.org/W2463565445","https://openalex.org/W2467173223","https://openalex.org/W2467963359","https://openalex.org/W2474839258","https://openalex.org/W2515893700","https://openalex.org/W2548441712","https://openalex.org/W2572589325","https://openalex.org/W2769117444","https://openalex.org/W2950476286","https://openalex.org/W2950909321","https://openalex.org/W2962714411","https://openalex.org/W2962965405","https://openalex.org/W2963047297","https://openalex.org/W2963223306","https://openalex.org/W2963227255","https://openalex.org/W2963266340","https://openalex.org/W2963558617","https://openalex.org/W2963567641","https://openalex.org/W2963986868","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W2964308564","https://openalex.org/W4294170691","https://openalex.org/W6600497320","https://openalex.org/W6607333740","https://openalex.org/W6608057000","https://openalex.org/W6631190155","https://openalex.org/W6638880016","https://openalex.org/W6640284076","https://openalex.org/W6674387193","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6681508662","https://openalex.org/W6682691769","https://openalex.org/W6683258052","https://openalex.org/W6686164453","https://openalex.org/W6687500345","https://openalex.org/W6688167117","https://openalex.org/W6688384872","https://openalex.org/W6691644898","https://openalex.org/W6703410971","https://openalex.org/W6704078852","https://openalex.org/W6719057275","https://openalex.org/W6720049588","https://openalex.org/W6726122380","https://openalex.org/W6729703806","https://openalex.org/W6731566855","https://openalex.org/W6737342630","https://openalex.org/W6745305086"],"related_works":["https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"in":[2,61,93],"sequence-to-sequence":[3],"learning":[4],"demonstrate":[5,126],"that":[6],"RNN":[7],"encoder-decoder":[8],"structure":[9],"can":[10,18,78],"successfully":[11],"generate":[12,20],"Chinese":[13,39,69],"poetry.":[14],"However,":[15],"existing":[16],"methods":[17],"only":[19],"poetry":[21,40],"with":[22,120],"a":[23,36,44,73],"given":[24],"first":[25,47],"line":[26],"or":[27],"user's":[28],"intent":[29],"theme.":[30],"In":[31,95],"this":[32],"paper,":[33],"we":[34,71],"proposed":[35],"three-stage":[37],"multi-modal":[38],"generation":[41,107],"approach.":[42],"Given":[43],"picture,":[45],"the":[46,49,52,56,66,90,97,110,113,117,123,127],"line,":[48],"title":[50,106],"and":[51,83,88,108,116],"other":[53],"lines":[54],"of":[55,68,112,129],"poem":[57,115],"are":[58],"successively":[59],"generated":[60],"three":[62],"stages.":[63],"According":[64],"to":[65],"characteristics":[67],"poems,":[70],"propose":[72],"hierarchy-attention":[74],"seq2seq":[75],"model":[76,102],"which":[77],"effectively":[79],"capture":[80],"character,":[81],"phrase,":[82],"sentence":[84],"information":[85],"between":[86],"contexts":[87],"improve":[89,109],"symmetry":[91],"delivered":[92],"poems.":[94],"addition,":[96],"Latent":[98],"Dirichlet":[99],"allocation":[100],"(LDA)":[101],"is":[103],"utilized":[104],"for":[105],"relevance":[111],"whole":[114],"title.":[118],"Compared":[119],"strong":[121],"baseline,":[122],"experimental":[124],"results":[125],"effectiveness":[128],"our":[130],"approach,":[131],"using":[132],"machine":[133],"evaluations":[134],"as":[135,137],"well":[136],"human":[138],"judgments.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}