{"id":"https://openalex.org/W2170076209","doi":"https://doi.org/10.1109/tasl.2009.2022435","title":"On the Use of Anti-Word Models for Audio Music Annotation and Retrieval","display_name":"On the Use of Anti-Word Models for Audio Music Annotation and Retrieval","publication_year":2009,"publication_date":"2009-05-11","ids":{"openalex":"https://openalex.org/W2170076209","doi":"https://doi.org/10.1109/tasl.2009.2022435","mag":"2170076209"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2009.2022435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2009.2022435","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5042581267","display_name":"Zhisheng Chen","orcid":"https://orcid.org/0000-0002-0854-2547"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zhi-Sheng Chen","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073451247","display_name":"Jyh\u2010Shing Roger Jang","orcid":"https://orcid.org/0000-0002-7319-9095"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"J.-S.R. Jang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":2.4677,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89652853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":"8","first_page":"1547","last_page":"1556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8307316303253174},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7368531227111816},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7338813543319702},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.698811411857605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6197095513343811},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5563790798187256},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48626863956451416},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.47096994519233704},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4497621953487396},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13429579138755798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307316303253174},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7368531227111816},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7338813543319702},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.698811411857605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6197095513343811},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5563790798187256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48626863956451416},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.47096994519233704},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4497621953487396},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13429579138755798},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tasl.2009.2022435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2009.2022435","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W174251063","https://openalex.org/W1480740215","https://openalex.org/W1502275556","https://openalex.org/W1508121828","https://openalex.org/W1548198236","https://openalex.org/W1594474154","https://openalex.org/W2020842694","https://openalex.org/W2046390908","https://openalex.org/W2093432797","https://openalex.org/W2109607073","https://openalex.org/W2112861900","https://openalex.org/W2113571299","https://openalex.org/W2116373735","https://openalex.org/W2120951132","https://openalex.org/W2125238156","https://openalex.org/W2133999183","https://openalex.org/W2134731454","https://openalex.org/W2136564616","https://openalex.org/W2146632282","https://openalex.org/W2147152072","https://openalex.org/W2154016477","https://openalex.org/W2156336347","https://openalex.org/W2158289097","https://openalex.org/W2160560153","https://openalex.org/W2162124943","https://openalex.org/W2239504576","https://openalex.org/W2401775237","https://openalex.org/W2539879360","https://openalex.org/W3146463283","https://openalex.org/W4245049592","https://openalex.org/W4248892431","https://openalex.org/W4285719527","https://openalex.org/W6607092827","https://openalex.org/W6629949262","https://openalex.org/W6630222583","https://openalex.org/W6632445676","https://openalex.org/W6635700309","https://openalex.org/W6680201914","https://openalex.org/W6683889009","https://openalex.org/W6690404994","https://openalex.org/W6712594027","https://openalex.org/W6728905919"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W38394648","https://openalex.org/W2394602299","https://openalex.org/W2366714378","https://openalex.org/W2624106077","https://openalex.org/W3159405288","https://openalex.org/W2999699891","https://openalex.org/W2349125667","https://openalex.org/W1503459176","https://openalex.org/W1509467138"],"abstract_inverted_index":{"Query-by-semantic-description":[0],"(QBSD)":[1],"is":[2,94,107],"a":[3,10,48,57],"natural":[4],"way":[5],"for":[6,22,98],"searching/annotating":[7],"music":[8],"in":[9],"large":[11],"database.":[12],"To":[13],"improve":[14],"QBSD,":[15],"we":[16],"propose":[17],"the":[18,28,43,77,86,89,92,99,104,108],"use":[19],"of":[20,30,47,69,88,110],"anti-words":[21],"each":[23],"annotation":[24,64,113],"word":[25,49,58],"based":[26],"on":[27],"concept":[29],"supervised":[31],"multiclass":[32],"labeling":[33],"(SML).":[34],"More":[35],"specifically,":[36],"words":[37],"that":[38],"are":[39],"highly":[40],"associated":[41],"with":[42],"opposite":[44],"semantic":[45],"meaning":[46],"constitute":[50],"its":[51,60],"anti-word":[52,61,90],"set.":[53],"By":[54],"modeling":[55],"both":[56],"and":[59,74],"set,":[62],"our":[63],"system":[65],"can":[66],"achieve":[67],"31.1%":[68],"equal":[70],"mean":[71],"per-word":[72],"precision":[73],"recall,":[75],"while":[76],"original":[78],"SML":[79],"model":[80],"achieves":[81],"27.8%.":[82],"Moreover,":[83],"by":[84],"constructing":[85],"models":[87],"explicitly,":[91],"performance":[93],"also":[95],"significantly":[96],"improved":[97],"retrieval":[100],"system,":[101],"especially":[102],"when":[103],"query":[105],"keyword":[106],"antonym":[109],"an":[111],"existing":[112],"word.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}