{"id":"https://openalex.org/W1768675166","doi":null,"title":"Exploiting known taxonomies in learning overlapping concepts","display_name":"Exploiting known taxonomies in learning overlapping concepts","publication_year":2007,"publication_date":"2007-01-06","ids":{"openalex":"https://openalex.org/W1768675166","mag":"1768675166"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.186.2040","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.2040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.brown.edu/people/ljcai/publication/CaiHofIJCAI07.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5045870162","display_name":"Lijuan Cai","orcid":"https://orcid.org/0000-0003-1248-1422","observed_orcids":["https://orcid.org/0000-0003-1248-1422"]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijuan Cai","raw_affiliation_strings":["Department of Computer Science, Brown University, Providence, RI,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102981763","display_name":"Thomas Hofmann","orcid":"https://orcid.org/0000-0003-4057-7165","observed_orcids":["https://orcid.org/0000-0003-4057-7165","https://orcid.org/0009-0007-1270-7053","https://orcid.org/0000-0001-7798-9572"]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Hofmann","raw_affiliation_strings":["Department of Computer Science, Brown University, Providence, RI,"],"raw_orcid":"https://orcid.org/0000-0003-4057-7165","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":2.8642,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.90726616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"714","last_page":"719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":1.0,"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/T11550","display_name":"Text and Document Classification Technologies","score":1.0,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.0,"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/T12694","display_name":"Categorization, perception, and language","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"multi-label classification","score":0.7889999747276306},{"id":"https://openalex.org/keywords/hierarchical-classification","display_name":"hierarchical classification","score":0.8190000057220459},{"id":"https://openalex.org/keywords/perceptron","display_name":"perceptron","score":0.6790000200271606},{"id":"https://openalex.org/keywords/prior-knowledge-integration","display_name":"prior knowledge incorporation","score":0.7950000166893005}],"concepts":[{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7829525470733643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937990188598633},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.633094847202301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211722493171692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5354784727096558},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47142547369003296},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.186.2040","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.2040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.brown.edu/people/ljcai/publication/CaiHofIJCAI07.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.73.6849","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.6849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dli.iiit.ac.in/ijcai/IJCAI-2007/PDF/IJCAI07-114.pdf","raw_type":"text"},{"id":"mag:1768675166","doi":null,"is_oa":false,"landing_page_url":"https://ijcai.org/papers07/Papers/IJCAI07-114.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1523949738","https://openalex.org/W1525398599","https://openalex.org/W1578080815","https://openalex.org/W2008835805","https://openalex.org/W2014566476","https://openalex.org/W2040870580","https://openalex.org/W2053463056","https://openalex.org/W2054882585","https://openalex.org/W2063862666","https://openalex.org/W2091961126","https://openalex.org/W2103971661","https://openalex.org/W2105644991","https://openalex.org/W2111979819","https://openalex.org/W2118712128","https://openalex.org/W2121526711","https://openalex.org/W2132826100","https://openalex.org/W2138451337","https://openalex.org/W2154455818","https://openalex.org/W2157791002","https://openalex.org/W2163647352","https://openalex.org/W2170858770","https://openalex.org/W2429914308"],"related_works":["https://openalex.org/W2128899870","https://openalex.org/W4378711611","https://openalex.org/W7097038055","https://openalex.org/W80896490","https://openalex.org/W2189174345","https://openalex.org/W53773398","https://openalex.org/W2014566476","https://openalex.org/W7166472000","https://openalex.org/W1491260674","https://openalex.org/W2115620960"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"classification":[2,37],"problems":[3],"involve":[4],"large":[5],"numbers":[6],"of":[7,42],"overlapping":[8],"categories":[9,69],"that":[10,76,90],"are":[11,70,77],"arranged":[12],"in":[13,66],"a":[14,39,45,82],"hierarchy":[15],"or":[16],"taxonomy.":[17,83],"We":[18,32],"propose":[19],"to":[20],"incorporate":[21],"prior":[22],"knowledge":[23],"on":[24,86],"category":[25],"taxonomy":[26],"directly":[27],"into":[28],"the":[29],"learning":[30],"architecture.":[31],"present":[33],"two":[34],"concrete":[35],"multi-label":[36,47],"methods,":[38],"generalized":[40],"version":[41],"Perceptron":[43],"and":[44,60,74],"hierarchical":[46,92],"SVM":[48],"learning.":[49],"Our":[50],"method":[51],"works":[52],"with":[53],"arbitrary,":[54],"not":[55,78],"necessarily":[56,79],"singly":[57],"connected":[58],"taxonomies,":[59],"can":[61],"be":[62],"applied":[63],"more":[64],"generally":[65],"settings":[67],"where":[68],"characterized":[71],"by":[72,81],"attributes":[73],"relations":[75],"induced":[80],"Experimental":[84],"results":[85],"WIPO-alpha":[87],"collection":[88],"show":[89],"our":[91],"methods":[93],"bring":[94],"significant":[95],"performance":[96],"improvement.":[97],"1":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
