{"id":"https://openalex.org/W4385488607","doi":"https://doi.org/10.1109/ijcnn54540.2023.10192007","title":"A Deep News Headline Generation Model with REINFORCE Filter","display_name":"A Deep News Headline Generation Model with REINFORCE Filter","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488607","doi":"https://doi.org/10.1109/ijcnn54540.2023.10192007"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10192007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10192007","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/A5101857179","display_name":"Aobo Xu","orcid":"https://orcid.org/0000-0003-3392-7374"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aobo Xu","raw_affiliation_strings":["School of Economics and Management, China University of Petroleum,Qingdao,China","School of Economics and Management, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050445079","display_name":"Ling Jian","orcid":"https://orcid.org/0000-0002-9385-5977"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Jian","raw_affiliation_strings":["School of Economics and Management, China University of Petroleum,Qingdao,China","School of Economics and Management, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum,Qingdao,China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70434488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9994000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9986000061035156,"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/headline","display_name":"Headline","score":0.987683892250061},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8644708395004272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7235206961631775},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5983635187149048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5151954293251038},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.514097273349762},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.49397212266921997},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.4495096802711487},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4361540973186493},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3946692943572998},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3218337297439575},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15496590733528137},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1310541033744812}],"concepts":[{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.987683892250061},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8644708395004272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235206961631775},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5983635187149048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5151954293251038},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.514097273349762},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49397212266921997},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.4495096802711487},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4361540973186493},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3946692943572998},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3218337297439575},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15496590733528137},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1310541033744812},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10192007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10192007","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1514009873","https://openalex.org/W1525595230","https://openalex.org/W1614298861","https://openalex.org/W1902237438","https://openalex.org/W2016589492","https://openalex.org/W2028339364","https://openalex.org/W2054211469","https://openalex.org/W2064675550","https://openalex.org/W2081265723","https://openalex.org/W2101390659","https://openalex.org/W2119717200","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2467173223","https://openalex.org/W2606974598","https://openalex.org/W2609923048","https://openalex.org/W2612675303","https://openalex.org/W2735492478","https://openalex.org/W2736601468","https://openalex.org/W2741438349","https://openalex.org/W2785128315","https://openalex.org/W2896457183","https://openalex.org/W2907225248","https://openalex.org/W2915400310","https://openalex.org/W2949252816","https://openalex.org/W2952138241","https://openalex.org/W2962985882","https://openalex.org/W2963167310","https://openalex.org/W2964032708","https://openalex.org/W2970634364","https://openalex.org/W2997920211","https://openalex.org/W3035068386","https://openalex.org/W3168282198","https://openalex.org/W3198859314","https://openalex.org/W4225926430","https://openalex.org/W4385245566","https://openalex.org/W6631501603","https://openalex.org/W6636510571","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6682631176","https://openalex.org/W6683258052","https://openalex.org/W6725207838","https://openalex.org/W6734696739","https://openalex.org/W6737479944","https://openalex.org/W6739901393","https://openalex.org/W6741002519","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W3198337106","https://openalex.org/W4317547544","https://openalex.org/W4313395829","https://openalex.org/W3109345528","https://openalex.org/W3097792017","https://openalex.org/W2787752238","https://openalex.org/W3010337296","https://openalex.org/W4313307225","https://openalex.org/W3132883577","https://openalex.org/W4206715480"],"abstract_inverted_index":{"Generating":[0],"accurate":[1],"and":[2,16,85,96,103],"concise":[3],"headlines":[4],"based":[5,78],"on":[6,79,87],"news":[7,58,67,89,127],"content":[8,15],"can":[9],"help":[10],"people":[11],"filter":[12,77,125],"out":[13],"interesting":[14],"improve":[17],"the":[18,26,108,111,119],"quality":[19],"of":[20,29,100,110,122],"life.":[21],"News":[22],"headline":[23,90,128],"generation,":[24],"as":[25],"sub-application":[27],"area":[28],"text":[30,42],"summarization,":[31],"has":[32],"many":[33],"methodological":[34],"commonalities":[35],"but":[36],"with":[37,74],"higher":[38],"requirements":[39],"for":[40,66,98],"generated":[41],"quality,":[43],"which":[44,69,92],"is":[45],"more":[46],"challenging.":[47],"In":[48,114],"this":[49],"paper,":[50],"we":[51],"propose":[52],"a":[53,71,75],"new":[54],"model":[55],"to":[56,106],"generate":[57],"headline,":[59],"named":[60],"RADGen":[61],"(REIN-FORCE":[62],"Aided":[63],"Deep":[64],"Generator":[65],"headline),":[68],"combines":[70],"Transformer-based":[72],"generator":[73],"sentence-selecting":[76],"REINFORCE":[80],"algorithm.":[81],"We":[82],"perform":[83],"experiments":[84,117],"assessments":[86],"Chinese":[88],"dataset,":[91],"achieve":[93],"25.71,":[94],"8.26":[95],"23.58":[97],"f-score":[99],"ROUGE-1,":[101],"ROUGE-2":[102],"ROUGE-L":[104],"respectively,":[105],"demonstrate":[107],"effectiveness":[109],"proposed":[112],"model.":[113],"addition,":[115],"ablation":[116],"show":[118],"positive":[120],"roll":[121],"reinforcement":[123],"learning":[124],"in":[126],"generation.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}