{"id":"https://openalex.org/W2971330564","doi":"https://doi.org/10.18653/v1/d19-1444","title":"Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification","display_name":"Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971330564","doi":"https://doi.org/10.18653/v1/d19-1444","mag":"2971330564"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1444","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1444","pdf_url":"https://aclanthology.org/D19-1444.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D19-1444.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009633508","display_name":"Jiawei Wu","orcid":"https://orcid.org/0000-0001-6251-2202"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiawei Wu","raw_affiliation_strings":["Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110635444","display_name":"Wenhan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhan Xiong","raw_affiliation_strings":["Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702485","display_name":"William Yang Wang","orcid":"https://orcid.org/0000-0001-6153-8240"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Yang Wang","raw_affiliation_strings":["Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009633508"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":6.0695,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.97001533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4353","last_page":"4363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9973999857902527,"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":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.7460114359855652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6108683943748474},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.602915346622467},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5841087698936462},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.44684308767318726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34649789333343506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09800830483436584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.061581432819366455},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05531767010688782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7460114359855652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6108683943748474},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.602915346622467},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5841087698936462},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.44684308767318726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34649789333343506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09800830483436584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.061581432819366455},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05531767010688782},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1444","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1444","pdf_url":"https://aclanthology.org/D19-1444.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1444","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1444","pdf_url":"https://aclanthology.org/D19-1444.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971330564.pdf","grobid_xml":"https://content.openalex.org/works/W2971330564.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W54673942","https://openalex.org/W61851215","https://openalex.org/W99485931","https://openalex.org/W174427690","https://openalex.org/W1569296262","https://openalex.org/W1832693441","https://openalex.org/W1924770834","https://openalex.org/W1935590542","https://openalex.org/W1979495886","https://openalex.org/W2027266161","https://openalex.org/W2052684427","https://openalex.org/W2052958516","https://openalex.org/W2105078254","https://openalex.org/W2112796928","https://openalex.org/W2114315281","https://openalex.org/W2123399796","https://openalex.org/W2132083787","https://openalex.org/W2132096166","https://openalex.org/W2150102617","https://openalex.org/W2153579005","https://openalex.org/W2161824996","https://openalex.org/W2170240176","https://openalex.org/W2188400996","https://openalex.org/W2251470734","https://openalex.org/W2406945108","https://openalex.org/W2564425030","https://openalex.org/W2578206533","https://openalex.org/W2592329103","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2739996966","https://openalex.org/W2751120573","https://openalex.org/W2754517384","https://openalex.org/W2787501667","https://openalex.org/W2789018230","https://openalex.org/W2888541716","https://openalex.org/W2951829787","https://openalex.org/W2962713724","https://openalex.org/W2963012544","https://openalex.org/W2963120839","https://openalex.org/W2963274420","https://openalex.org/W2963341924","https://openalex.org/W2963775850","https://openalex.org/W2964005754","https://openalex.org/W2964288660","https://openalex.org/W4294170691","https://openalex.org/W4303683898"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2030530201","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290"],"abstract_inverted_index":{"Jiawei":[0],"Wu,":[1],"Wenhan":[2],"Xiong,":[3],"William":[4],"Yang":[5],"Wang.":[6],"Proceedings":[7],"of":[8],"the":[9,20],"2019":[10],"Conference":[11,24],"on":[12,25],"Empirical":[13],"Methods":[14],"in":[15],"Natural":[16,26],"Language":[17,27],"Processing":[18,28],"and":[19],"9th":[21],"International":[22],"Joint":[23],"(EMNLP-IJCNLP).":[29],"2019.":[30]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":9}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}