{"id":"https://openalex.org/W2768601846","doi":"https://doi.org/10.1109/access.2017.2774839","title":"Automatic Generation of News Comments Based on Gated Attention Neural Networks","display_name":"Automatic Generation of News Comments Based on Gated Attention Neural Networks","publication_year":2017,"publication_date":"2017-11-17","ids":{"openalex":"https://openalex.org/W2768601846","doi":"https://doi.org/10.1109/access.2017.2774839","mag":"2768601846"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2774839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2774839","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2774839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022672030","display_name":"Hai-Tao Zheng","orcid":"https://orcid.org/0000-0001-5128-5649"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai-Tao Zheng","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646812","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-2908-3060"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340746","display_name":"Wang Chen","orcid":"https://orcid.org/0000-0002-1680-7680"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Chen","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072241102","display_name":"Arun Kumar Sangaiah","orcid":"https://orcid.org/0000-0002-0229-2460"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Kumar Sangaiah","raw_affiliation_strings":["School of Computing Science and Engineering, VIT University, Vellore, India"],"affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, VIT University, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022672030"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.2904,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95447732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"702","last_page":"710"},"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":0.9987000226974487,"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":0.9980000257492065,"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/perplexity","display_name":"Perplexity","score":0.9003863334655762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8582351207733154},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.8528645634651184},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7429540157318115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311266422271729},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6164479851722717},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5916004180908203},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5801922082901001},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5765913128852844},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5561787486076355},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5070950984954834},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4909415543079376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44515711069107056},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39847227931022644},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.33890247344970703},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.23257064819335938},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12188872694969177}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9003863334655762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8582351207733154},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.8528645634651184},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7429540157318115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311266422271729},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6164479851722717},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5916004180908203},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5801922082901001},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5765913128852844},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5561787486076355},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5070950984954834},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4909415543079376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44515711069107056},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39847227931022644},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.33890247344970703},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.23257064819335938},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12188872694969177},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2774839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2774839","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b69f9f0d1e524431b3129cb8dd4652da","is_oa":true,"landing_page_url":"https://doaj.org/article/b69f9f0d1e524431b3129cb8dd4652da","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 702-710 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2774839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2774839","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G1765236859","display_name":null,"funder_award_id":"61773229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3148224508","display_name":null,"funder_award_id":"JC20140001","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G5360672027","display_name":null,"funder_award_id":"2014A030313745","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W196214544","https://openalex.org/W1518951372","https://openalex.org/W1645937837","https://openalex.org/W1775434803","https://openalex.org/W1810943226","https://openalex.org/W1815076433","https://openalex.org/W1917215959","https://openalex.org/W1948566616","https://openalex.org/W1999965501","https://openalex.org/W2004637830","https://openalex.org/W2050523636","https://openalex.org/W2064675550","https://openalex.org/W2099471712","https://openalex.org/W2115221470","https://openalex.org/W2133564696","https://openalex.org/W2139079654","https://openalex.org/W2146502635","https://openalex.org/W2154764394","https://openalex.org/W2161325192","https://openalex.org/W2207587218","https://openalex.org/W2335943576","https://openalex.org/W2548441712","https://openalex.org/W2557508245","https://openalex.org/W2733769132","https://openalex.org/W2740167620","https://openalex.org/W2950909321","https://openalex.org/W2951523806","https://openalex.org/W2963047297","https://openalex.org/W2963223306","https://openalex.org/W2964268978","https://openalex.org/W2964308564","https://openalex.org/W3124386704","https://openalex.org/W4320013936","https://openalex.org/W6607333740","https://openalex.org/W6607974698","https://openalex.org/W6621378261","https://openalex.org/W6638545294","https://openalex.org/W6651526915","https://openalex.org/W6681435938","https://openalex.org/W6727862155","https://openalex.org/W6992685905"],"related_works":["https://openalex.org/W2610308580","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"],"abstract_inverted_index":{"With":[0],"the":[1,17,53,76,80,101,108,121,160,169],"development":[2],"of":[3,33,103,123,140],"recurrent":[4],"neural":[5,91],"networks":[6],"(RNN),":[7],"various":[8],"natural":[9],"language":[10],"generation":[11,24,32,163],"(NLG)":[12],"tasks":[13],"have":[14,72],"boomed":[15],"in":[16,25,43,79],"past":[18],"few":[19],"years,":[20],"such":[21],"as":[22],"response":[23],"conversation":[26],"and":[27,39,58,117,129,138],"poetry":[28],"generation.":[29],"However,":[30],"automatic":[31],"news":[34,78,97,114,171],"comments":[35,57,134,172],"is":[36],"anew,":[37],"challenging":[38],"not":[40],"well-studied":[41],"task":[42,51],"NLG.":[44],"Different":[45],"from":[46],"other":[47],"NLG":[48],"tasks,":[49],"this":[50,84],"requires":[52],"contextual":[54,104],"relevance":[55,130],"between":[56],"news.":[59],"In":[60,83],"addition,":[61],"we":[62,86,106,125,143],"need":[63],"to":[64,95,112,132,148,175],"generate":[65,96,133],"diversified":[66],"comments,":[67,124],"because":[68],"different":[69,73,136],"people":[70],"usually":[71],"opinions":[74],"on":[75],"same":[77],"real":[81],"world.":[82],"paper,":[85],"propose":[87],"a":[88],"gated":[89,109],"attention":[90,110],"network":[92],"model":[93],"(GANN)":[94],"comments.":[98,177],"To":[99,119],"address":[100],"problem":[102],"relevance,":[105],"introduce":[107],"mechanism":[111],"use":[113,126],"context":[115],"self-adaptively":[116],"selectively.":[118],"ensure":[120],"diversity":[122],"random":[127],"sample":[128],"control":[131],"with":[135,153],"topics":[137],"degrees":[139],"relevance.":[141],"Moreover,":[142],"apply":[144],"generative":[145],"adversarial":[146],"nets":[147],"improve":[149],"GANN.":[150],"Automatic":[151],"evaluation":[152,166],"perplexity":[154],"score":[155],"reveals":[156],"that":[157,168],"GANN":[158],"outperforms":[159],"existing":[161],"comment":[162],"methods.":[164],"Human":[165],"proves":[167],"generated":[170],"are":[173],"close":[174],"human":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
