{"id":"https://openalex.org/W1998720920","doi":"https://doi.org/10.1145/1075389.1075390","title":"Automatic summarization of voicemail messages using lexical and prosodic features","display_name":"Automatic summarization of voicemail messages using lexical and prosodic features","publication_year":2005,"publication_date":"2005-02-01","ids":{"openalex":"https://openalex.org/W1998720920","doi":"https://doi.org/10.1145/1075389.1075390","mag":"1998720920"},"language":"en","primary_location":{"id":"doi:10.1145/1075389.1075390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1075389.1075390","pdf_url":null,"source":{"id":"https://openalex.org/S200945739","display_name":"ACM Transactions on Speech and Language Processing","issn_l":"1550-4875","issn":["1550-4875","1550-4883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on 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/A5051638410","display_name":"Konstantinos Koumpis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122474","display_name":"Forschungszentrum Telekommunikation Wien","ror":"https://ror.org/026nftk33","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210122474"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Konstantinos Koumpis","raw_affiliation_strings":["Vienna Telecommunications Research Center, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna Telecommunications Research Center, Vienna, Austria","institution_ids":["https://openalex.org/I4210122474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027442277","display_name":"Steve Renals","orcid":"https://orcid.org/0000-0002-8790-3389"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Renals","raw_affiliation_strings":["University of Edinburgh, Edinburgh, UK","University of Edinburgh, Edinburgh , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh, Edinburgh , UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.4747,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.9815996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9968000054359436,"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":0.9966999888420105,"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":0.8871049880981445},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7329111695289612},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6486028432846069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6394320130348206},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6080245971679688},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.570395827293396},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5170498490333557},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08710438013076782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8871049880981445},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7329111695289612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6486028432846069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6394320130348206},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6080245971679688},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.570395827293396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5170498490333557},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08710438013076782},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/1075389.1075390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1075389.1075390","pdf_url":null,"source":{"id":"https://openalex.org/S200945739","display_name":"ACM Transactions on Speech and Language Processing","issn_l":"1550-4875","issn":["1550-4875","1550-4883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Speech and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.7858","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.7858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-gth.die.upm.es/research/documentation/referencias/Koumpis_Automatic.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.3717","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.3717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homepages.inf.ed.ac.uk/srenals/pubs/2005/tslp05.pdf","raw_type":"text"},{"id":"pmh:oai:era.ed.ac.uk:1842/1036","is_oa":false,"landing_page_url":"http://doi.acm.org/10.1145/1075389.1075390","pdf_url":null,"source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","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":"Article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/d047d31a-66cf-487c-b3d6-f9c5c823365f","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/d047d31a-66cf-487c-b3d6-f9c5c823365f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Koumpis, K & Renals, S 2005, 'Automatic Summarization of Voicemail Messages Using Lexical and Prosodic Features', ACM Transactions on Speech and Language Processing, vol. 2, no. 1, 1. https://doi.org/10.1145/1075389.1075390","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.ed.ac.uk:publications/d047d31a-66cf-487c-b3d6-f9c5c823365f","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/portal/en/publications/automatic-summarization-of-voicemail-messages-using-lexical-and-prosodic-features(d047d31a-66cf-487c-b3d6-f9c5c823365f).html","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W8379181","https://openalex.org/W94155879","https://openalex.org/W173400130","https://openalex.org/W183036423","https://openalex.org/W1480624264","https://openalex.org/W1484670493","https://openalex.org/W1489224224","https://openalex.org/W1496594527","https://openalex.org/W1518279751","https://openalex.org/W1575801249","https://openalex.org/W1577877742","https://openalex.org/W1582023067","https://openalex.org/W1583314545","https://openalex.org/W1974556460","https://openalex.org/W1980955698","https://openalex.org/W1982626598","https://openalex.org/W1989302571","https://openalex.org/W1989966618","https://openalex.org/W1991846425","https://openalex.org/W2015895495","https://openalex.org/W2033921274","https://openalex.org/W2070725064","https://openalex.org/W2092269560","https://openalex.org/W2096942889","https://openalex.org/W2098286805","https://openalex.org/W2104960492","https://openalex.org/W2107451257","https://openalex.org/W2111069012","https://openalex.org/W2114123841","https://openalex.org/W2132296119","https://openalex.org/W2133054063","https://openalex.org/W2135118399","https://openalex.org/W2136967703","https://openalex.org/W2144276742","https://openalex.org/W2152816769","https://openalex.org/W2166347079","https://openalex.org/W2260250847","https://openalex.org/W2426479676","https://openalex.org/W2541443726","https://openalex.org/W2560120866","https://openalex.org/W2561675875","https://openalex.org/W2603454388","https://openalex.org/W2608050011","https://openalex.org/W3143398958","https://openalex.org/W3143835353","https://openalex.org/W3151369355","https://openalex.org/W4210304626","https://openalex.org/W4238665603","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4323520239","https://openalex.org/W4389760904","https://openalex.org/W4306886878"],"abstract_inverted_index":{"This":[0],"aticle":[1],"presents":[2],"trainable":[3],"methods":[4],"for":[5,20],"extracting":[6],"principal":[7],"content":[8],"words":[9,35],"from":[10,73],"voicemail":[11,85],"messages.":[12],"The":[13,24],"short":[14],"text":[15],"summaries":[16],"generated":[17],"are":[18],"suitable":[19],"mobile":[21],"messaging":[22],"applications.":[23],"system":[25],"uses":[26],"a":[27,41,63],"set":[28],"of":[29,43,65,84],"classifiers":[30],"to":[31,54],"identify":[32],"the":[33],"summary":[34],"with":[36],"each":[37],"word":[38],"described":[39],"by":[40],"vector":[42],"lexical":[44],"and":[45,67],"prosodic":[46],"features.":[47],"We":[48,60],"use":[49],"an":[50],"ROC-based":[51],"algorithm,":[52],"Parcel,":[53],"select":[55],"input":[56],"features":[57],"(and":[58],"classifiers).":[59],"have":[61],"performed":[62],"series":[64],"objective":[66],"subjective":[68],"evaluations":[69],"using":[70],"unseen":[71],"data":[72],"two":[74],"different":[75],"speech":[76],"recognition":[77],"systems":[78],"as":[79,81],"well":[80],"human":[82],"transcriptions":[83],"speech.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":9}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}