{"id":"https://openalex.org/W2970191075","doi":"https://doi.org/10.18653/v1/d19-1425","title":"Topics to Avoid: Demoting Latent Confounds in Text Classification","display_name":"Topics to Avoid: Demoting Latent Confounds in Text Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970191075","doi":"https://doi.org/10.18653/v1/d19-1425","mag":"2970191075"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1425","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1425","pdf_url":"https://www.aclweb.org/anthology/D19-1425.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/D19-1425.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102123110","display_name":"Sachin Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sachin Kumar","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032082399","display_name":"Shuly Wintner","orcid":"https://orcid.org/0000-0002-7154-4764"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shuly Wintner","raw_affiliation_strings":["Department of Computer Science, University of Haifa, Haifa, Israel","Department of Computer Science, University of Haifa, Haifa, Israel \u2665"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":"Department of Computer Science, University of Haifa, Haifa, Israel \u2665","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":["Allen Institute for Artificial Intelligence, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062910836","display_name":"Yulia Tsvetkov","orcid":"https://orcid.org/0000-0002-4634-7128"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yulia Tsvetkov","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102123110"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.4682,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94210506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4151","last_page":"4161"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983000159263611,"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":0.9975000023841858,"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":0.6582538485527039},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5795484185218811},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5492730140686035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49773481488227844},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4619733393192291},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4306902289390564},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1467532515525818},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14153137803077698},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06813055276870728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582538485527039},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5795484185218811},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5492730140686035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49773481488227844},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4619733393192291},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4306902289390564},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1467532515525818},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14153137803077698},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06813055276870728},{"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/d19-1425","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1425","pdf_url":"https://www.aclweb.org/anthology/D19-1425.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/d19-1425","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1425","pdf_url":"https://www.aclweb.org/anthology/D19-1425.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":0.8399999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6647704645","display_name":"CyberTraining: Implementation: Small: Enabling Dark Matter Discovery through Collaborative Cybertraining","funder_award_id":"2017699","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7443315410","display_name":"NSF-BSF: RI: Small: Collaborative Research: Modeling Crosslinguistic Influences Between Language Varieties","funder_award_id":"1812327","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7586225507","display_name":"NSF-BSF: RI: Small: Collaborative Research: Modeling Crosslinguistic Influences Between Language Varieties","funder_award_id":"1813153","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320320950","display_name":"United States-Israel Binational Science Foundation","ror":"https://ror.org/00j8z2m73"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970191075.pdf","grobid_xml":"https://content.openalex.org/works/W2970191075.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1506915175","https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1880262756","https://openalex.org/W2022456638","https://openalex.org/W2038411619","https://openalex.org/W2055011070","https://openalex.org/W2096698697","https://openalex.org/W2098062695","https://openalex.org/W2099471712","https://openalex.org/W2109883364","https://openalex.org/W2131850093","https://openalex.org/W2137264748","https://openalex.org/W2143891888","https://openalex.org/W2145339207","https://openalex.org/W2181262297","https://openalex.org/W2251109422","https://openalex.org/W2530395818","https://openalex.org/W2601037984","https://openalex.org/W2617573776","https://openalex.org/W2725155646","https://openalex.org/W2740028188","https://openalex.org/W2792263949","https://openalex.org/W2802105481","https://openalex.org/W2803691791","https://openalex.org/W2804178350","https://openalex.org/W2805572053","https://openalex.org/W2888161220","https://openalex.org/W2890078671","https://openalex.org/W2903056428","https://openalex.org/W2905678540","https://openalex.org/W2914442349","https://openalex.org/W2934842096","https://openalex.org/W2950768109","https://openalex.org/W2950939981","https://openalex.org/W2951025380","https://openalex.org/W2953141406","https://openalex.org/W2962787423","https://openalex.org/W2963158254","https://openalex.org/W2963446520","https://openalex.org/W2963879260","https://openalex.org/W2964135759","https://openalex.org/W2964201867","https://openalex.org/W2970726176","https://openalex.org/W2971296520","https://openalex.org/W3145915828","https://openalex.org/W4231510805","https://openalex.org/W4234712938","https://openalex.org/W4245327150","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2748574964","https://openalex.org/W1996130883","https://openalex.org/W2888483922","https://openalex.org/W4283262748","https://openalex.org/W2367747139","https://openalex.org/W2566187525","https://openalex.org/W3204019825","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Sachin":[0],"Kumar,":[1],"Shuly":[2],"Wintner,":[3],"Noah":[4],"A.":[5],"Smith,":[6],"Yulia":[7],"Tsvetkov.":[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":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
