{"id":"https://openalex.org/W2970706333","doi":"https://doi.org/10.18653/v1/d19-1153","title":"Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding","display_name":"Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970706333","doi":"https://doi.org/10.18653/v1/d19-1153","mag":"2970706333"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1153","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1153","pdf_url":"https://www.aclweb.org/anthology/D19-1153.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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1153.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031943883","display_name":"Quynh Do","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Quynh Do","raw_affiliation_strings":["Amazon Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Aachen, Germany","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026722932","display_name":"Judith Gaspers","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Judith Gaspers","raw_affiliation_strings":["Amazon Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Aachen, Germany","institution_ids":["https://openalex.org/I4210089985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210089985"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1455","last_page":"1460"},"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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9966999888420105,"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":0.8236943483352661},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6462027430534363},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6399215459823608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5445698499679565},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4758967161178589},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4666844308376312},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.45419245958328247},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37181487679481506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8236943483352661},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6462027430534363},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6399215459823608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5445698499679565},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4758967161178589},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4666844308376312},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.45419245958328247},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37181487679481506},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1153","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1153","pdf_url":"https://www.aclweb.org/anthology/D19-1153.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/d19-1153","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1153","pdf_url":"https://www.aclweb.org/anthology/D19-1153.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":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970706333.pdf","grobid_xml":"https://content.openalex.org/works/W2970706333.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1026270304","https://openalex.org/W1905522558","https://openalex.org/W1977088242","https://openalex.org/W2024958244","https://openalex.org/W2026445738","https://openalex.org/W2097550833","https://openalex.org/W2142746600","https://openalex.org/W2183341477","https://openalex.org/W2250600805","https://openalex.org/W2791169651","https://openalex.org/W2888940013","https://openalex.org/W2927258315","https://openalex.org/W2950621961","https://openalex.org/W2963118869","https://openalex.org/W2963288406","https://openalex.org/W2963366389","https://openalex.org/W2963602293","https://openalex.org/W2964125718","https://openalex.org/W4298393544","https://openalex.org/W4299579390"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2962716343","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W2765804957","https://openalex.org/W4308854837","https://openalex.org/W43702919","https://openalex.org/W2060410964","https://openalex.org/W845924147"],"abstract_inverted_index":{"Quynh":[0],"Do,":[1],"Judith":[2],"Gaspers.":[3],"Proceedings":[4],"of":[5],"the":[6,17],"2019":[7],"Conference":[8,21],"on":[9,22],"Empirical":[10],"Methods":[11],"in":[12],"Natural":[13,23],"Language":[14,24],"Processing":[15,25],"and":[16],"9th":[18],"International":[19],"Joint":[20],"(EMNLP-IJCNLP).":[26],"2019.":[27]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
