乐胖代购免代理版

{"id":"https://openalex.org/W4313153165","doi":"https://doi.org/10.1145/3565291.3565328","title":"Research on parallel corpus classification based on pre-trained model","display_name":"Research on parallel corpus classification based on pre-trained model","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4313153165","doi":"https://doi.org/10.1145/3565291.3565328"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5040580407","display_name":"Yongliang Huang","orcid":"https://orcid.org/0000-0002-0854-4489"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongliang Huang","raw_affiliation_strings":["Beijing Institute Of Graphic Communication, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute Of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009052681","display_name":"Shulin Yang","orcid":"https://orcid.org/0000-0002-9186-4415"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Yang","raw_affiliation_strings":["Beijing Institute Of Graphic Communication, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute Of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062186376","display_name":"Meiqi Zhou","orcid":"https://orcid.org/0000-0001-6054-3101"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqi Zhou","raw_affiliation_strings":["Beijing Institute Of Graphic Communication, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute Of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046374848","display_name":"Jiao Peng","orcid":"https://orcid.org/0000-0002-7610-3888"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiao Peng","raw_affiliation_strings":["Beijing Institute Of Graphic Communication, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute Of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047448197","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-2380-6133"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Beijing Institute Of Graphic Communication, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute Of Graphic Communication, China","institution_ids":["https://openalex.org/I4210135483"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":59},"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"235"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9968,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968,"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":0.9953,"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":0.9952,"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/fuse","display_name":"Fuse (electrical)","score":0.65464425},{"id":"https://openalex.org/keywords/parallel-corpora","display_name":"Parallel corpora","score":0.4730933},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46111938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818555},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6639684},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.65464425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6453035},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5096624},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5068086},{"id":"https://openalex.org/C2985367798","wikidata":"https://www.wikidata.org/wiki/Q1346592","display_name":"Parallel corpora","level":3,"score":0.4730933},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46111938},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3560425},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.09741843},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09287456},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09077585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","score":0.86,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":2,"referenced_works":["https://openalex.org/W2165612380","https://openalex.org/W2441515906"],"related_works":["https://openalex.org/W37319627","https://openalex.org/W3123064333","https://openalex.org/W2902262852","https://openalex.org/W2757753881","https://openalex.org/W2251265917","https://openalex.org/W2242707303","https://openalex.org/W2143927888","https://openalex.org/W2125885330","https://openalex.org/W2123678043","https://openalex.org/W1572297637"],"abstract_inverted_index":{"At":[0],"present,":[1],"the":[2,16,26,36,61,71,85],"data":[3,86],"in":[4,11,25,97],"most":[5],"text":[6,18,37,68],"classification":[7,33,72,95],"tasks":[8],"are":[9],"only":[10],"a":[12],"single":[13],"language,":[14],"but":[15],"bilingual":[17],"information":[19],"value":[20],"can":[21,77],"be":[22,78],"fully":[23],"utilized":[24],"scenario":[27],"of":[28,39,74],"Chinese-English":[29],"parallel":[30,75,98],"corpus.":[31,99],"A":[32],"model":[34,41],"combining":[35],"features":[38],"pre-training":[40],"ERNIE":[42,47],"and":[43,55],"BERT":[44,56],"is":[45,48,57,64],"proposed.":[46],"used":[49,58,65],"to":[50,59,66],"process":[51,60],"The":[52],"Chinese":[53],"corpus,":[54],"English":[62],"corpus.TextCNN":[63],"fuse":[67],"feature":[69],"vectors.Thus,":[70],"effect":[73,96],"corpus":[76],"improved.Comparative":[79],"experimental":[80],"tests":[81],"were":[82],"performed":[83],"on":[84],"set.The":[87],"results":[88],"show":[89],"that":[90],"this":[91],"method":[92],"has":[93],"better":[94]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4313153165","counts_by_year":[],"updated_date":"2025-03-05T01:00:19.335305","created_date":"2023-01-06"}