{"id":"https://openalex.org/W4287855202","doi":"https://doi.org/10.18653/v1/2022.naacl-industry.35","title":"Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System","display_name":"Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4287855202","doi":"https://doi.org/10.18653/v1/2022.naacl-industry.35"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2022.naacl-industry.35","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.naacl-industry.35","pdf_url":"https://aclanthology.org/2022.naacl-industry.35.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2022.naacl-industry.35.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104230370","display_name":"Tao Zhu","orcid":"https://orcid.org/0009-0001-1023-9846"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631152","display_name":"Zhe Zhao","orcid":"https://orcid.org/0000-0003-4189-3258"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668786","display_name":"Weijie Liu","orcid":"https://orcid.org/0000-0002-8023-9913"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Liu","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019606204","display_name":"Jiachi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachi Liu","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101786165","display_name":"Yiren Chen","orcid":"https://orcid.org/0000-0003-2538-1105"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiren Chen","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018039581","display_name":"Weiquan Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiquan Mao","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023299624","display_name":"Haoyan Liu","orcid":"https://orcid.org/0000-0002-6305-2065"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyan Liu","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031283926","display_name":"Kunbo Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunbo Ding","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332356","display_name":"Yudong Li","orcid":"https://orcid.org/0000-0001-6779-8836"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Li","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100715830","display_name":"Xuefeng Yang","orcid":"https://orcid.org/0000-0002-3832-2422"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Yang","raw_affiliation_strings":["Tencent Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Research, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3374,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53685919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9864000082015991,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9864000082015991,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.98089998960495,"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/chen","display_name":"Chen","score":0.7533438205718994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787976384162903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47860926389694214},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4636572003364563},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.43650123476982117},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40082791447639465},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16645154356956482}],"concepts":[{"id":"https://openalex.org/C2776085556","wikidata":"https://www.wikidata.org/wiki/Q183361","display_name":"Chen","level":2,"score":0.7533438205718994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787976384162903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47860926389694214},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4636572003364563},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.43650123476982117},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40082791447639465},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16645154356956482},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2022.naacl-industry.35","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.naacl-industry.35","pdf_url":"https://aclanthology.org/2022.naacl-industry.35.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2022.naacl-industry.35","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2022.naacl-industry.35","pdf_url":"https://aclanthology.org/2022.naacl-industry.35.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287855202.pdf","grobid_xml":"https://content.openalex.org/works/W4287855202.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1682403713","https://openalex.org/W1997865285","https://openalex.org/W2060277733","https://openalex.org/W2396585843","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2583761661","https://openalex.org/W2758816656","https://openalex.org/W2806984819","https://openalex.org/W2884282566","https://openalex.org/W2896457183","https://openalex.org/W2938830017","https://openalex.org/W2948734064","https://openalex.org/W2948947170","https://openalex.org/W2954929116","https://openalex.org/W2962739339","https://openalex.org/W2963072899","https://openalex.org/W2963106996","https://openalex.org/W2963211188","https://openalex.org/W2963813679","https://openalex.org/W2964189064","https://openalex.org/W2964303773","https://openalex.org/W2965373594","https://openalex.org/W2970390493","https://openalex.org/W2970925270","https://openalex.org/W3030364939","https://openalex.org/W3034856281","https://openalex.org/W3043271475","https://openalex.org/W3088966581","https://openalex.org/W3098649723","https://openalex.org/W3174702398","https://openalex.org/W3176828726","https://openalex.org/W3199761064","https://openalex.org/W4286856918","https://openalex.org/W4294170691","https://openalex.org/W4312744085","https://openalex.org/W4319988532"],"related_works":["https://openalex.org/W2370310922","https://openalex.org/W2386975637","https://openalex.org/W2891436901","https://openalex.org/W2388837937","https://openalex.org/W2087355708","https://openalex.org/W2385339070","https://openalex.org/W4291238811","https://openalex.org/W2390434941","https://openalex.org/W2385344059","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Tao":[0],"Zhu,":[1],"Zhe":[2],"Zhao,":[3],"Weijie":[4],"Liu,":[5,7,13],"Jiachi":[6],"Yiren":[8],"Chen,":[9],"Weiquan":[10],"Mao,":[11],"Haoyan":[12],"Kunbo":[14],"Ding,":[15],"Yudong":[16],"Li,":[17],"Xuefeng":[18],"Yang.":[19],"Proceedings":[20],"of":[21,25,30],"the":[22,26,31],"2022":[23],"Conference":[24],"North":[27],"American":[28],"Chapter":[29],"Association":[32],"for":[33],"Computational":[34],"Linguistics:":[35],"Human":[36],"Language":[37],"Technologies:":[38],"Industry":[39],"Track.":[40],"2022.":[41]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
