{"id":"https://openalex.org/W2015248373","doi":"https://doi.org/10.1145/1277741.1277962","title":"Improving active learning recall via disjunctive boolean constraints","display_name":"Improving active learning recall via disjunctive boolean constraints","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2015248373","doi":"https://doi.org/10.1145/1277741.1277962","mag":"2015248373"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028575607","display_name":"Emre Velipasaoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emre Velipasaoglu","raw_affiliation_strings":["Yahoo!: Inc., Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!: Inc., Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071144367","display_name":"Hinrich Sch\u00fctze","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hinrich Sch\u00fctze","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074139750","display_name":"Jan Pedersen","orcid":"https://orcid.org/0000-0002-3099-2106"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan O. Pedersen","raw_affiliation_strings":["Yahoo!: Inc., Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!: Inc., Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028575607"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07795772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"893","last_page":"894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9997000098228455,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9997000098228455,"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":0.9962000250816345,"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/T11269","display_name":"Algorithms and Data Compression","score":0.993399977684021,"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":0.7608771324157715},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.705313503742218},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.6383855938911438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5421319007873535},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.526036262512207},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.46751052141189575},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4557393193244934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42534226179122925},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06416043639183044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608771324157715},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.705313503742218},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.6383855938911438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5421319007873535},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.526036262512207},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.46751052141189575},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4557393193244934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42534226179122925},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06416043639183044},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W173851765","https://openalex.org/W2005422315","https://openalex.org/W2010526612","https://openalex.org/W2085989833","https://openalex.org/W2118020653","https://openalex.org/W2137061486","https://openalex.org/W2151023586","https://openalex.org/W2151596305"],"related_works":["https://openalex.org/W2295628041","https://openalex.org/W2597787948","https://openalex.org/W2951786554","https://openalex.org/W2954428433","https://openalex.org/W3196155444","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W2239420864","https://openalex.org/W4366320140","https://openalex.org/W4297094728"],"abstract_inverted_index":{"Active":[0],"learning":[1,40],"efficiently":[2],"hones":[3],"in":[4,15,50],"on":[5],"the":[6,16],"decision":[7],"boundary":[8],"between":[9],"relevant":[10,23,51],"and":[11],"irrelevant":[12],"documents,":[13,24],"but":[14],"process":[17],"can":[18],"miss":[19],"entire":[20],"clusters":[21],"of":[22],"yielding":[25],"classifiers":[26],"with":[27],"low":[28],"recall.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"propose":[34],"a":[35,46],"method":[36],"to":[37,45],"increase":[38],"active":[39],"recall":[41],"by":[42],"constraining":[43],"sampling":[44],"document":[47],"subset":[48],"rich":[49],"examples.":[52]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
