{"id":"https://openalex.org/W2912909199","doi":"https://doi.org/10.1109/bigdata.2018.8622273","title":"Affective Natural Language Generation by Phrase Insertion","display_name":"Affective Natural Language Generation by Phrase Insertion","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912909199","doi":"https://doi.org/10.1109/bigdata.2018.8622273","mag":"2912909199"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5091467268","display_name":"Tomasz Dryja\u0144ski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128738","display_name":"Samsung (Poland)","ror":"https://ror.org/0381acm07","country_code":"PL","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210128738"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Tomasz Dryjanski","raw_affiliation_strings":["Samsung R&D Institute, Poland"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Poland","institution_ids":["https://openalex.org/I4210128738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037224073","display_name":"Pawe\u0142 Bujnowski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128738","display_name":"Samsung (Poland)","ror":"https://ror.org/0381acm07","country_code":"PL","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210128738"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Bujnowski","raw_affiliation_strings":["Samsung R&D Institute, Poland"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Poland","institution_ids":["https://openalex.org/I4210128738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067031329","display_name":"Hyungtak Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyungtak Choi","raw_affiliation_strings":["Samsung Electronics, Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087713703","display_name":"Katarzyna Podlaska","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128738","display_name":"Samsung (Poland)","ror":"https://ror.org/0381acm07","country_code":"PL","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210128738"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Podlaska","raw_affiliation_strings":["Samsung R&D Institute, Poland"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Poland","institution_ids":["https://openalex.org/I4210128738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024194407","display_name":"Kamil Michalski","orcid":"https://orcid.org/0009-0000-4530-5746"},"institutions":[{"id":"https://openalex.org/I4210128738","display_name":"Samsung (Poland)","ror":"https://ror.org/0381acm07","country_code":"PL","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210128738"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Kamil Michalski","raw_affiliation_strings":["Samsung R&D Institute, Poland"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Poland","institution_ids":["https://openalex.org/I4210128738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036507414","display_name":"Katarzyna Beksa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128738","display_name":"Samsung (Poland)","ror":"https://ror.org/0381acm07","country_code":"PL","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210128738"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Beksa","raw_affiliation_strings":["Samsung R&D Institute, Poland"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Poland","institution_ids":["https://openalex.org/I4210128738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109318762","display_name":"Pawe\u0142 Kubik","orcid":"https://orcid.org/0009-0007-3446-9252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pawel Kubik","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5091467268"],"corresponding_institution_ids":["https://openalex.org/I4210128738"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7440841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"abs 1511 6732","issue":null,"first_page":"4876","last_page":"4882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9990000128746033,"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":0.8042492270469666},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7822397351264954},{"id":"https://openalex.org/keywords/politeness","display_name":"Politeness","score":0.7624527215957642},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.7294158935546875},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6747685670852661},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.6319295167922974},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6145650148391724},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.590691089630127},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5827802419662476},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5747644901275635},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5352047085762024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297347903251648},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4251297116279602},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.26305848360061646},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15165111422538757},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13217002153396606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8042492270469666},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7822397351264954},{"id":"https://openalex.org/C61123122","wikidata":"https://www.wikidata.org/wiki/Q281287","display_name":"Politeness","level":2,"score":0.7624527215957642},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.7294158935546875},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6747685670852661},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.6319295167922974},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6145650148391724},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.590691089630127},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5827802419662476},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5747644901275635},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5352047085762024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297347903251648},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4251297116279602},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.26305848360061646},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15165111422538757},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13217002153396606},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W68441731","https://openalex.org/W145090004","https://openalex.org/W200414342","https://openalex.org/W1522301498","https://openalex.org/W1645937837","https://openalex.org/W1948566616","https://openalex.org/W2095705004","https://openalex.org/W2101105183","https://openalex.org/W2125320996","https://openalex.org/W2128892831","https://openalex.org/W2130942839","https://openalex.org/W2154652894","https://openalex.org/W2159980159","https://openalex.org/W2173790845","https://openalex.org/W2176263492","https://openalex.org/W2328886022","https://openalex.org/W2429300145","https://openalex.org/W2483402000","https://openalex.org/W2507756961","https://openalex.org/W2604799547","https://openalex.org/W2608438166","https://openalex.org/W2613114271","https://openalex.org/W2740582239","https://openalex.org/W2787531919","https://openalex.org/W2962806234","https://openalex.org/W2962854379","https://openalex.org/W2963248296","https://openalex.org/W2963903950","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W3105830849","https://openalex.org/W3106003309","https://openalex.org/W3124386704","https://openalex.org/W4285719527","https://openalex.org/W6600880057","https://openalex.org/W6605907815","https://openalex.org/W6623324445","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6679436768","https://openalex.org/W6682631176","https://openalex.org/W6683761161","https://openalex.org/W6685322675","https://openalex.org/W6725207838","https://openalex.org/W6744852449","https://openalex.org/W6748227926","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2955859849","https://openalex.org/W2152921782","https://openalex.org/W382594479","https://openalex.org/W2470045054","https://openalex.org/W2575772232","https://openalex.org/W2151245229","https://openalex.org/W2140902089","https://openalex.org/W2030298461","https://openalex.org/W1510553545","https://openalex.org/W3020827637"],"abstract_inverted_index":{"We":[0,69],"propose":[1,42],"a":[2,95],"highly":[3],"precise,":[4],"production-ready":[5],"neural":[6],"model":[7,56,81],"for":[8],"affective":[9,87],"natural":[10],"language":[11],"generation.":[12],"It":[13,28],"is":[14,57],"designed":[15],"to":[16,20,49,60,85],"add":[17],"predefined":[18],"sentiment":[19],"neutral":[21],"utterances":[22],"without":[23,94],"changing":[24],"the":[25,80],"meaning":[26],"significantly.":[27],"works":[29],"by":[30],"inferring":[31],"phrases":[32],"and":[33,46],"their":[34],"insertion":[35],"points.":[36],"In":[37],"our":[38,50],"work":[39],"we":[40,76],"also":[41,77],"strict":[43],"correctness":[44],"criteria":[45],"apply":[47],"them":[48],"inference":[51],"results":[52],"achieving":[53],"human-level":[54],"precision.The":[55],"not":[58],"specific":[59],"any":[61],"particular":[62],"domain":[63],"like":[64,89],"IoT":[65],"or":[66,92],"restaurants":[67],"review.":[68],"use":[70],"six":[71],"selected":[72],"emotion":[73],"categories,":[74,88],"but":[75],"speculate":[78],"that":[79],"could":[82],"be":[83],"applied":[84],"other":[86],"informal":[90],"style":[91],"politeness,":[93],"design":[96],"change.":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}