{"id":"https://openalex.org/W2147730187","doi":"https://doi.org/10.1109/slt.2008.4777869","title":"An extractive-summarization baseline for the automatic detection of noteworthy utterances in multi-party human-human dialog","display_name":"An extractive-summarization baseline for the automatic detection of noteworthy utterances in multi-party human-human dialog","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2147730187","doi":"https://doi.org/10.1109/slt.2008.4777869","mag":"2147730187"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2008.4777869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2008.4777869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Spoken Language Technology Workshop","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024489911","display_name":"Satanjeev Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satanjeev Banerjee","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040668817","display_name":"Alexander I. Rudnicky","orcid":"https://orcid.org/0000-0003-2044-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander I. Rudnicky","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9249254465103149},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.8320536613464355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979798913002014},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7691132426261902},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.7147136330604553},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6759195923805237},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.625838577747345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5458528995513916},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48361387848854065},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36164677143096924},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1331392526626587}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9249254465103149},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8320536613464355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979798913002014},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7691132426261902},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7147136330604553},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6759195923805237},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.625838577747345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458528995513916},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48361387848854065},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36164677143096924},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1331392526626587},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/slt.2008.4777869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2008.4777869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Spoken Language Technology Workshop","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:compsci-2352","is_oa":false,"landing_page_url":"http://repository.cmu.edu/cgi/viewcontent.cgi?article=2352&context=compsci","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Department","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6603299","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.856.4528","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.856.4528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Ebanerjee/Publications/BanerjeeRudnickySLT08_final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2439194","https://openalex.org/W1823390538","https://openalex.org/W1831406492","https://openalex.org/W1990070937","https://openalex.org/W2137370819","https://openalex.org/W2147574893","https://openalex.org/W2805889152"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W2063157598","https://openalex.org/W2013809956","https://openalex.org/W2107559347","https://openalex.org/W2097043665"],"abstract_inverted_index":{"Our":[0],"goal":[1],"is":[2,26,77],"to":[3,19,48,124],"reduce":[4],"meeting":[5,15,29,45],"participants'":[6],"note-taking":[7,25],"effort":[8],"by":[9,144],"automatically":[10],"identifying":[11,52],"utterances":[12,98,100,115,134],"whose":[13],"contents":[14],"participants":[16],"are":[17,34,135],"likely":[18],"include":[20],"in":[21,43,108],"their":[22],"notes.":[23],"Though":[24],"different":[27],"from":[28],"summarization,":[30],"these":[31,58],"two":[32],"problems":[33],"related.":[35],"In":[36],"this":[37],"paper":[38],"we":[39],"apply":[40],"techniques":[41],"developed":[42],"extractive":[44],"summarization":[46],"research":[47],"the":[49,81,94,138],"problem":[50],"of":[51,63,69,80,84,96,127,140],"noteworthy":[53],"utterances.":[54],"We":[55,91,111],"show":[56,112],"that":[57,79,101,104,113],"algorithms":[59],"achieve":[60],"an":[61,120],"f-measure":[62],"0.14":[64],"over":[65],"a":[66,109,128],"5-meeting":[67],"sequence":[68],"related":[70],"meetings.":[71],"The":[72],"precision":[73,139],"-":[74,76,99],"0.15":[75],"triple":[78],"trivial":[82],"baseline":[83],"simply":[85],"labeling":[86],"every":[87],"utterance":[88],"as":[89],"noteworthy.":[90],"also":[92],"introduce":[93],"concept":[95],"ldquoshow-worthyrdquo":[97],"contain":[102],"information":[103],"could":[105],"conceivably":[106],"result":[107],"note.":[110],"such":[114],"can":[116],"be":[117],"recognized":[118],"with":[119],"81%":[121],"accuracy":[122,126],"(compared":[123],"53%":[125],"majority":[129],"classifier).":[130],"Further,":[131],"if":[132],"non-show-worthy":[133],"filtered":[136],"out,":[137],"noteworthiness":[141],"detection":[142],"improves":[143],"33%":[145],"relative.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}