{"id":"https://openalex.org/W2107459631","doi":"https://doi.org/10.1109/icassp.2011.5946919","title":"Exploiting active-learning strategies for annotating prosodic events with limited labeled data","display_name":"Exploiting active-learning strategies for annotating prosodic events with limited labeled data","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2107459631","doi":"https://doi.org/10.1109/icassp.2011.5946919","mag":"2107459631"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1269645","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003690515","display_name":"Raul Castro Fernandez","orcid":"https://orcid.org/0000-0001-7675-6080"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raul Fernandez","raw_affiliation_strings":["IBM Thomas J. Watson Research Laboratory, Yorktown Heights, NY, USA","IBM TJ Watson Research Lab, Yorktown Heights, NY, 10598, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Laboratory, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM TJ Watson Research Lab, Yorktown Heights, NY, 10598, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071715737","display_name":"Bhuvana Ramabhadran","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhuvana Ramabhadran","raw_affiliation_strings":["IBM Thomas J. Watson Research Laboratory, Yorktown Heights, NY, USA","IBM TJ Watson Research Lab, Yorktown Heights, NY, 10598, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Laboratory, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM TJ Watson Research Lab, Yorktown Heights, NY, 10598, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2208","last_page":"2211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9986000061035156,"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/T12031","display_name":"Speech and dialogue systems","score":0.9973000288009644,"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":0.839945375919342},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6268454194068909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6063766479492188},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.589337170124054},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5600212216377258},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5537548661231995},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5022616386413574},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4938886761665344},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.45670080184936523},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4554862082004547},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44512128829956055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839945375919342},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6268454194068909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6063766479492188},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.589337170124054},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5600212216377258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5537548661231995},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5022616386413574},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4938886761665344},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.45670080184936523},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4554862082004547},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44512128829956055},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1269645","is_oa":true,"landing_page_url":"https://zenodo.org/record/1269645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1269645","is_oa":true,"landing_page_url":"https://zenodo.org/record/1269645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W135060498","https://openalex.org/W1514707997","https://openalex.org/W1580375566","https://openalex.org/W2109292858","https://openalex.org/W2117763124","https://openalex.org/W2147880316","https://openalex.org/W2171671120","https://openalex.org/W6630882758","https://openalex.org/W6677815259","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2981877337","https://openalex.org/W3204418343","https://openalex.org/W3203938600","https://openalex.org/W4286910063","https://openalex.org/W2163707935","https://openalex.org/W3132602785","https://openalex.org/W83146503","https://openalex.org/W2169074127","https://openalex.org/W4292388283","https://openalex.org/W1560624709"],"abstract_inverted_index":{"Many":[0],"applications":[1],"of":[2,12,19,55,72,87,91,100,113,119,127,145,154,162,184],"spoken-language":[3],"systems":[4],"can":[5,30,106,134],"benefit":[6],"from":[7,63],"having":[8],"access":[9],"to":[10,25,59,95,109,141],"annotations":[11,18],"prosodic":[13,174],"events.":[14],"Unfortunately,":[15],"obtaining":[16],"human":[17],"these":[20,38],"events,":[21],"even":[22],"sensible":[23],"amounts":[24],"train":[26],"a":[27,32,44,97,120,131],"supervised":[28],"system,":[29],"become":[31],"laborious":[33],"and":[34,122,152,157,173],"costly":[35],"effort.":[36],"Given":[37],"constraints,":[39],"this":[40],"task":[41],"serves":[42],"as":[43,177,179],"good":[45,178],"case":[46],"study":[47],"for":[48,160],"approaches":[49],"that":[50,105,133,148,159],"judiciously":[51],"guide":[52,110],"the":[53,61,64,70,73,85,89,111,117,125,128,138,143,155,163,182],"selection":[54,112,167],"data":[56,93,129,146,186],"in":[57],"order":[58],"maximize":[60],"gain":[62],"human-labeling":[65],"process":[66,140],"or":[67,180],"which":[68],"minimize":[69],"size":[71],"training":[74],"set.":[75],"To":[76],"address":[77],"this,":[78],"we":[79],"explore":[80],"active":[81,166],"learning":[82,139],"techniques":[83],"with":[84],"objective":[86],"reducing":[88],"amount":[90],"human-annotated":[92],"needed":[94],"attain":[96],"given":[98],"level":[99],"performance.":[101],"We":[102],"review":[103],"strategies":[104,168],"be":[107,135],"used":[108,136],"sequences":[114],"by":[115],"combining":[116],"output":[118],"classifier":[121],"information":[123],"about":[124],"structure":[126],"into":[130],"criterion":[132],"during":[137],"query":[142],"label":[144],"points":[147],"are":[149,176],"both":[150],"informative":[151],"representative":[153],"task,":[156],"show":[158],"most":[161],"cases":[164],"considered,":[165],"when":[169],"labeling":[170],"pitch":[171],"accents":[172],"boundaries":[175],"exceed":[181],"performance":[183],"random":[185],"selection.":[187]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
