{"id":"https://openalex.org/W2160624913","doi":"https://doi.org/10.1145/2740908.2741709","title":"A Rule-Based Approach to Extracting Relations from Music Tidbits","display_name":"A Rule-Based Approach to Extracting Relations from Music Tidbits","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W2160624913","doi":"https://doi.org/10.1145/2740908.2741709","mag":"2160624913"},"language":"en","primary_location":{"id":"doi:10.1145/2740908.2741709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2741709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositori.upf.edu/bitstreams/0b3cf869-696d-4ec2-81aa-1e30d49e7403/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054710041","display_name":"Sergio Oramas","orcid":"https://orcid.org/0000-0002-8028-2890"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sergio Oramas","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079883919","display_name":"Mohamed Sordo","orcid":"https://orcid.org/0000-0002-4608-978X"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Sordo","raw_affiliation_strings":["University of Miami, Miami, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Miami, Miami, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002661723","display_name":"Luis Espinosa-Anke","orcid":"https://orcid.org/0000-0001-6830-9176"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Espinosa-Anke","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054710041"],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":null,"apc_paid":null,"fwci":0.8686,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74708867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"661","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.996999979019165,"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":0.7774553298950195},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6598036289215088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6036797165870667},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.539726972579956},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.48991769552230835},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.47154501080513},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43870019912719727},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.427731454372406},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3651088774204254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7774553298950195},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6598036289215088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6036797165870667},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.539726972579956},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.48991769552230835},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.47154501080513},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43870019912719727},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.427731454372406},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3651088774204254},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2740908.2741709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2741709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:repositori.upf.edu:10230/33520","is_oa":true,"landing_page_url":"http://hdl.handle.net/10230/33520","pdf_url":"https://repositori.upf.edu/bitstreams/0b3cf869-696d-4ec2-81aa-1e30d49e7403/download","source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:repositori.upf.edu:10230/33520","is_oa":true,"landing_page_url":"http://hdl.handle.net/10230/33520","pdf_url":"https://repositori.upf.edu/bitstreams/0b3cf869-696d-4ec2-81aa-1e30d49e7403/download","source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2160624913.pdf","grobid_xml":"https://content.openalex.org/works/W2160624913.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W91937416","https://openalex.org/W152377028","https://openalex.org/W167809298","https://openalex.org/W171009253","https://openalex.org/W195288642","https://openalex.org/W1493490255","https://openalex.org/W1539312853","https://openalex.org/W1606238867","https://openalex.org/W1729904568","https://openalex.org/W1965559845","https://openalex.org/W1970849810","https://openalex.org/W2037789405","https://openalex.org/W2070808142","https://openalex.org/W2083471782","https://openalex.org/W2104583100","https://openalex.org/W2106310992","https://openalex.org/W2109165106","https://openalex.org/W2129842875","https://openalex.org/W2132655161","https://openalex.org/W2132679783","https://openalex.org/W2138627627","https://openalex.org/W2157401733","https://openalex.org/W2164777277","https://openalex.org/W2167187514","https://openalex.org/W2250265269","https://openalex.org/W2399013517","https://openalex.org/W2893578842","https://openalex.org/W6629638141","https://openalex.org/W6636215346"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2952780262","https://openalex.org/W2375873920","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2083429127","https://openalex.org/W6643695","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,86,97,139,153],"rule":[4],"based":[5,62],"approach":[6,17],"to":[7,70,127,151],"extracting":[8],"relations":[9,35,81,110,145],"from":[10,95],"unstructured":[11],"music":[12,32,133],"text":[13,50],"sources.":[14],"The":[15,77,108],"proposed":[16],"identifies":[18],"and":[19,31,74,80,104,148],"disambiguates":[20],"musical":[21],"entities":[22,79],"in":[23,48],"text,":[24],"such":[25],"as":[26,85,119,121],"songs,":[27],"bands,":[28],"persons,":[29],"albums":[30],"genres.":[33],"Candidate":[34],"are":[36,68,82,111],"then":[37],"obtained":[38],"by":[39,114,123],"traversing":[40],"the":[41,49,125,157],"dependency":[42],"parsing":[43],"tree":[44],"of":[45,59,65,142,156],"each":[46],"sentence":[47],"with":[51,102],"at":[52],"least":[53],"two":[54],"identified":[55],"entities.":[56],"A":[57],"set":[58],"syntactic":[60],"rules":[61],"on":[63,93],"part":[64,155],"speech":[66],"tags":[67],"defined":[69],"filter":[71],"out":[72],"spurious":[73],"irrelevant":[75],"relations.":[76],"extracted":[78,109],"finally":[83],"represented":[84],"knowledge":[87,134,158],"graph.":[88],"We":[89],"test":[90],"our":[91],"method":[92],"texts":[94],"songfacts.com,":[96],"website":[98],"that":[99],"provides":[100],"tidbits":[101],"facts":[103],"stories":[105],"about":[106],"songs.":[107],"evaluated":[112],"intrinsically":[113],"assessing":[115,124],"their":[116],"linguistic":[117],"quality,":[118],"well":[120],"extrinsically":[122],"extent":[126],"which":[128],"they":[129],"map":[130],"an":[131],"existing":[132],"base.":[135,159],"Our":[136],"system":[137],"produces":[138],"vast":[140],"percentage":[141],"linguistically":[143],"correct":[144],"between":[146],"entities,":[147],"is":[149],"able":[150],"replicate":[152],"significant":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}