{"id":"https://openalex.org/W2983352957","doi":"https://doi.org/10.1007/978-981-15-1377-0_44","title":"Text Generation from Triple via Generative Adversarial Nets","display_name":"Text Generation from Triple via Generative Adversarial Nets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983352957","doi":"https://doi.org/10.1007/978-981-15-1377-0_44","mag":"2983352957"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-15-1377-0_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-15-1377-0_44","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5065643113","display_name":"Xiangyan Chen","orcid":"https://orcid.org/0000-0002-3484-467X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyan Chen","raw_affiliation_strings":["Cognitive Science Department, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Cognitive Science Department, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253377","display_name":"Dazhen Lin","orcid":"https://orcid.org/0000-0002-7221-5591"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhen Lin","raw_affiliation_strings":["Cognitive Science Department, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Cognitive Science Department, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032136718","display_name":"Donglin Cao","orcid":"https://orcid.org/0000-0002-0156-6087"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Cao","raw_affiliation_strings":["Cognitive Science Department, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Cognitive Science Department, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065643113"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.2756,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59633721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"567","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7761899828910828},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7165586352348328},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6794240474700928},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6343964338302612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5937741994857788},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.5776886940002441},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5434880256652832},{"id":"https://openalex.org/keywords/pseudorandom-binary-sequence","display_name":"Pseudorandom binary sequence","score":0.4529092609882355},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4300636649131775},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42617350816726685},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.41475579142570496},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4084435999393463},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3772643804550171},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3347359895706177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.210085928440094},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.14491885900497437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12258031964302063},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.0926855206489563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761899828910828},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7165586352348328},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6794240474700928},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6343964338302612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5937741994857788},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.5776886940002441},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5434880256652832},{"id":"https://openalex.org/C128040838","wikidata":"https://www.wikidata.org/wiki/Q1810628","display_name":"Pseudorandom binary sequence","level":3,"score":0.4529092609882355},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4300636649131775},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42617350816726685},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.41475579142570496},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4084435999393463},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3772643804550171},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3347359895706177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.210085928440094},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.14491885900497437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12258031964302063},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0926855206489563},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-15-1377-0_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-15-1377-0_44","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W590442793","https://openalex.org/W1614298861","https://openalex.org/W1631260214","https://openalex.org/W1902237438","https://openalex.org/W1940872118","https://openalex.org/W2064675550","https://openalex.org/W2094728533","https://openalex.org/W2099471712","https://openalex.org/W2101105183","https://openalex.org/W2107598941","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2141312052","https://openalex.org/W2154652894","https://openalex.org/W2171928131","https://openalex.org/W2194775991","https://openalex.org/W2626778328","https://openalex.org/W2741253951","https://openalex.org/W2757836268","https://openalex.org/W2808437126","https://openalex.org/W2892153332","https://openalex.org/W2895132160","https://openalex.org/W2950304420","https://openalex.org/W2962784628","https://openalex.org/W2963248348","https://openalex.org/W2963341956","https://openalex.org/W2963632268","https://openalex.org/W2963929190","https://openalex.org/W2964268978","https://openalex.org/W4212875990","https://openalex.org/W4285719527","https://openalex.org/W6600654476","https://openalex.org/W6601104142","https://openalex.org/W6702248584","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2169518243","https://openalex.org/W2252095989","https://openalex.org/W4322096525","https://openalex.org/W2551914602","https://openalex.org/W4281893144","https://openalex.org/W2105076537","https://openalex.org/W2787311093","https://openalex.org/W2084531783","https://openalex.org/W2902731467","https://openalex.org/W2020757772"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}