{"id":"https://openalex.org/W2908665600","doi":"https://doi.org/10.18653/v1/d19-1108","title":"Robust Text Classifier on Test-Time Budgets","display_name":"Robust Text Classifier on Test-Time Budgets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2908665600","doi":"https://doi.org/10.18653/v1/d19-1108","mag":"2908665600"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1108","pdf_url":"https://aclanthology.org/D19-1108.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://aclanthology.org/D19-1108.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020616425","display_name":"Md Rizwan Parvez","orcid":"https://orcid.org/0000-0002-3708-7803"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Rizwan Parvez","raw_affiliation_strings":["University of California Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082178510","display_name":"Tolga Bolukbasi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tolga Bolukbasi","raw_affiliation_strings":["Boston University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087096372","display_name":"Kai-Wei Chang","orcid":"https://orcid.org/0000-0001-5365-0072"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai-Wei Chang","raw_affiliation_strings":["University of California Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048704387","display_name":"Venkatesh Saligrama","orcid":"https://orcid.org/0000-0002-0675-2268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkatesh Saligrama","raw_affiliation_strings":["Boston University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1167","last_page":"1172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9972000122070312,"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":0.9957000017166138,"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":0.7409660816192627},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5580222010612488},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5155081748962402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090498328208923},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.47049450874328613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409660816192627},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5580222010612488},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5155081748962402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090498328208923},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.47049450874328613},{"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/d19-1108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1108","pdf_url":"https://aclanthology.org/D19-1108.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/d19-1108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1108","pdf_url":"https://aclanthology.org/D19-1108.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":[],"awards":[{"id":"https://openalex.org/G4385247538","display_name":"CRII: RI: Learning Structured Prediction Models with Auxiliary Supervision","funder_award_id":"1760523","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5962576219","display_name":"CIF: Small: Learning Mixed Membership Models with a Separable Latent Structure: theory, provably efficient algorithms, and applications","funder_award_id":"1527618","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2908665600.pdf","grobid_xml":"https://content.openalex.org/works/W2908665600.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W56897548","https://openalex.org/W195866714","https://openalex.org/W819076949","https://openalex.org/W1569657508","https://openalex.org/W1902237438","https://openalex.org/W2113459411","https://openalex.org/W2122825543","https://openalex.org/W2133564696","https://openalex.org/W2133737073","https://openalex.org/W2135046866","https://openalex.org/W2136192430","https://openalex.org/W2139104449","https://openalex.org/W2140610559","https://openalex.org/W2158542502","https://openalex.org/W2167101736","https://openalex.org/W2170240176","https://openalex.org/W2179423374","https://openalex.org/W2183159859","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2413904250","https://openalex.org/W2588285023","https://openalex.org/W2620172851","https://openalex.org/W2739542029","https://openalex.org/W2741263286","https://openalex.org/W2767693128","https://openalex.org/W2770564921","https://openalex.org/W2890744983","https://openalex.org/W2912934387","https://openalex.org/W2921174958","https://openalex.org/W2963012544","https://openalex.org/W2963233086","https://openalex.org/W2963363070","https://openalex.org/W2963428422","https://openalex.org/W2963756346","https://openalex.org/W2964062240","https://openalex.org/W2964308564","https://openalex.org/W3007227167","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4295116917","https://openalex.org/W4300756893","https://openalex.org/W4302343710"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Md":[0],"Rizwan":[1],"Parvez,":[2],"Tolga":[3],"Bolukbasi,":[4],"Kai-Wei":[5],"Chang,":[6],"Venkatesh":[7],"Saligrama.":[8],"Proceedings":[9],"of":[10],"the":[11,22],"2019":[12],"Conference":[13,26],"on":[14,27],"Empirical":[15],"Methods":[16],"in":[17],"Natural":[18,28],"Language":[19,29],"Processing":[20,30],"and":[21],"9th":[23],"International":[24],"Joint":[25],"(EMNLP-IJCNLP).":[31],"2019.":[32]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}