{"id":"https://openalex.org/W2970189355","doi":"https://doi.org/10.18653/v1/d19-1658","title":"A Robust Self-Learning Framework for Cross-Lingual Text Classification","display_name":"A Robust Self-Learning Framework for Cross-Lingual Text Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970189355","doi":"https://doi.org/10.18653/v1/d19-1658","mag":"2970189355"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1658","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1658","pdf_url":"https://www.aclweb.org/anthology/D19-1658.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://www.aclweb.org/anthology/D19-1658.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088720980","display_name":"Xin Dong","orcid":"https://orcid.org/0000-0001-8727-8088"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Dong","raw_affiliation_strings":["Rutgers University New Brunswick, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085818578","display_name":"Gerard de Melo","orcid":"https://orcid.org/0000-0002-2930-2059"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerard de Melo","raw_affiliation_strings":["Rutgers University New Brunswick, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088720980"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":5.3206,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96509748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6305","last_page":"6309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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":0.806164026260376},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6952551603317261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6238843202590942},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.45750027894973755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09037280082702637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806164026260376},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6952551603317261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6238843202590942},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45750027894973755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09037280082702637},{"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/d19-1658","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1658","pdf_url":"https://www.aclweb.org/anthology/D19-1658.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/d19-1658","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1658","pdf_url":"https://www.aclweb.org/anthology/D19-1658.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":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970189355.pdf","grobid_xml":"https://content.openalex.org/works/W2970189355.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1539773714","https://openalex.org/W1597032530","https://openalex.org/W2048679005","https://openalex.org/W2096873754","https://openalex.org/W2101210369","https://openalex.org/W2133556223","https://openalex.org/W2163568299","https://openalex.org/W2167660864","https://openalex.org/W2170240176","https://openalex.org/W2250473257","https://openalex.org/W2891602716","https://openalex.org/W2896457183","https://openalex.org/W2914120296","https://openalex.org/W2949821452","https://openalex.org/W2962739339","https://openalex.org/W2963012544","https://openalex.org/W2963308086","https://openalex.org/W2963326042","https://openalex.org/W2963341956","https://openalex.org/W2963721344","https://openalex.org/W2963729324","https://openalex.org/W2964266061","https://openalex.org/W2970854433","https://openalex.org/W2973088264"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Xin":[0],"Dong,":[1],"Gerard":[2],"de":[3],"Melo.":[4],"Proceedings":[5],"of":[6],"the":[7,18],"2019":[8],"Conference":[9,22],"on":[10,23],"Empirical":[11],"Methods":[12],"in":[13],"Natural":[14,24],"Language":[15,25],"Processing":[16,26],"and":[17],"9th":[19],"International":[20],"Joint":[21],"(EMNLP-IJCNLP).":[27],"2019.":[28]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}