{"id":"https://openalex.org/W4401067209","doi":"https://doi.org/10.1145/3670105.3670143","title":"News text continuation based on Topic Similarity Evaluation Module","display_name":"News text continuation based on Topic Similarity Evaluation Module","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4401067209","doi":"https://doi.org/10.1145/3670105.3670143"},"language":"en","primary_location":{"id":"doi:10.1145/3670105.3670143","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","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/A5101220826","display_name":"Xia Wu","orcid":"https://orcid.org/0000-0003-2317-6992"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xia Wu","raw_affiliation_strings":["State Grid Yantai Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Yantai Power Supply Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100851728","display_name":"Hua Deng","orcid":"https://orcid.org/0009-0007-0689-3320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Deng","raw_affiliation_strings":["State Grid Yantai Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Yantai Power Supply Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100577361","display_name":"Lina Bao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lina Bao","raw_affiliation_strings":["State Grid Yantai Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Yantai Power Supply Company, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101337228","display_name":"Haoyi Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoyi Cui","raw_affiliation_strings":["State Grid Yantai Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Yantai Power Supply Company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103973299","display_name":"Wei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["State Grid Yantai Power Supply Company, China"],"affiliations":[{"raw_affiliation_string":"State Grid Yantai Power Supply Company, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101220826"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09813685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9961000084877014,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9961000084877014,"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/T10028","display_name":"Topic Modeling","score":0.9937999844551086,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/continuation","display_name":"Continuation","score":0.7790306806564331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230238318443298},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6573697924613953},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5409529805183411},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39738699793815613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26644209027290344},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14987444877624512}],"concepts":[{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.7790306806564331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230238318443298},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6573697924613953},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5409529805183411},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39738699793815613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26644209027290344},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14987444877624512},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670105.3670143","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2885195348","https://openalex.org/W3095319910","https://openalex.org/W3096831136","https://openalex.org/W3146366485","https://openalex.org/W6601505382","https://openalex.org/W6603447212","https://openalex.org/W6815217517"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2352275403","https://openalex.org/W2159885618","https://openalex.org/W1994937216","https://openalex.org/W2199313715","https://openalex.org/W2012352190","https://openalex.org/W4210910892","https://openalex.org/W2206497186"],"abstract_inverted_index":{"Abstract:Text":[0],"continuation":[1,110],"is":[2,46],"based":[3],"on":[4,35],"the":[5,43,58,61,89,96,102,106,142,154,157,173],"input":[6,97,107,145,150],"text":[7,38,51,68,109],"to":[8,32,65,72,76,141,147],"automatically":[9,77],"generate":[10,81],"new":[11],"texts":[12],"that":[13,135],"are":[14],"thematically":[15],"relevant":[16],"and":[17,80,83,118],"semantically":[18],"coherent,":[19],"ultimately":[20],"forming":[21],"a":[22,115,121,130,166],"complete":[23],"story":[24],"or":[25],"article.Pre-trained":[26],"language":[27],"models":[28],"have":[29],"been":[30],"proven":[31],"perform":[33],"well":[34],"various":[36],"Chinese":[37],"generation":[39],"tasks,":[40],"among":[41],"which":[42],"Pangu-Alpha":[44,62],"model":[45,64],"particularly":[47],"effective":[48],"in":[49],"coherent":[50,85],"generation.":[52],"Therefore,":[53,126],"this":[54,92,127,162,176],"paper":[55,93,128,163],"mainly":[56],"uses":[57],"fine-tuning":[59],"of":[60,108,123,156,175],"pre-training":[63],"achieve":[66,148],"news":[67,79,86,104],"continuation.":[69],"We":[70],"hope":[71],"eventually":[73],"use":[74],"AI":[75],"write":[78],"logical":[82],"linguistically":[84],"content.":[87],"In":[88],"specific":[90],"implementation,":[91],"first":[94],"fine-tunes":[95],"data":[98],"through":[99],"Pangu-Alpha.":[100],"Considering":[101],"actual":[103],"environment,":[105],"does":[111],"not":[112],"strictly":[113],"follow":[114],"single":[116],"theme,":[117],"may":[119],"involve":[120],"mixture":[122],"multiple":[124],"themes.":[125],"proposes":[129,165],"theme":[131,158],"similarity":[132,143,159],"measurement":[133,160],"task":[134],"can":[136],"divide":[137],"different":[138],"themes":[139],"according":[140],"between":[144],"contents":[146],"adaptive":[149],"processing.":[151],"To":[152],"evaluate":[153],"effect":[155],"method,":[161],"also":[164],"length":[167],"regularization":[168],"loss.":[169],"Experimental":[170],"results":[171],"verify":[172],"effectiveness":[174],"paper's":[177],"method.":[178]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
