{"id":"https://openalex.org/W2127772224","doi":"https://doi.org/10.1109/asru.2009.5373302","title":"Integrating prosodic features in extractive meeting summarization","display_name":"Integrating prosodic features in extractive meeting summarization","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2127772224","doi":"https://doi.org/10.1109/asru.2009.5373302","mag":"2127772224"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5373302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding","raw_type":"proceedings-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/A5114860858","display_name":"Shasha Xie","orcid":"https://orcid.org/0009-0001-7808-4617"},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]},{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shasha Xie","raw_affiliation_strings":["Department of Computer Science, University of Texas, Dallas, Richardson, TX, USA","International Computer Science Institute, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas, Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"International Computer Science Institute, Berkeley, CA, USA","institution_ids":["https://openalex.org/I1297971548"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068709817","display_name":"Dilek Hakkani\u2010T\u00fcr","orcid":null},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-Tur","raw_affiliation_strings":["International Computer Science Institute, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"International Computer Science Institute, Berkeley, CA, USA","institution_ids":["https://openalex.org/I1297971548"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071505335","display_name":"Beno\u00eet Favre","orcid":"https://orcid.org/0000-0002-9777-4613"},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benoit Favre","raw_affiliation_strings":["International Computer Science Institute, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"International Computer Science Institute, Berkeley, CA, USA","institution_ids":["https://openalex.org/I1297971548"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Computer Science, University of Texas, Dallas, Richardson, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas, Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114860858"],"corresponding_institution_ids":["https://openalex.org/I1297971548","https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":6.9789,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.9696542,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9995999932289124,"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":0.9312430620193481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8380962610244751},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7321634292602539},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5850284695625305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5605785250663757},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5583354234695435},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4820598065853119},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.4788063168525696}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9312430620193481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8380962610244751},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7321634292602539},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5850284695625305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605785250663757},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5583354234695435},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4820598065853119},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.4788063168525696},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2009.5373302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W177307080","https://openalex.org/W1484277457","https://openalex.org/W1503312748","https://openalex.org/W1505175215","https://openalex.org/W1591607137","https://openalex.org/W1753146643","https://openalex.org/W1831406492","https://openalex.org/W1986304067","https://openalex.org/W1997662901","https://openalex.org/W2017187090","https://openalex.org/W2115230584","https://openalex.org/W2137161909","https://openalex.org/W2147574893","https://openalex.org/W2153635508","https://openalex.org/W2154652894","https://openalex.org/W2898190507","https://openalex.org/W3120421331","https://openalex.org/W3216401400","https://openalex.org/W6628942089","https://openalex.org/W6630051584","https://openalex.org/W6630058488","https://openalex.org/W6637625583","https://openalex.org/W6677213770","https://openalex.org/W6680039683","https://openalex.org/W6682631176"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W4323520239"],"abstract_inverted_index":{"Speech":[0],"contains":[1],"additional":[2],"information":[3,39,79],"than":[4,75],"text":[5],"that":[6,65],"can":[7],"be":[8],"valuable":[9],"for":[10,25,40],"automatic":[11],"speech":[12],"summarization.":[13],"In":[14,88],"this":[15],"paper,":[16],"we":[17,48,71],"evaluate":[18],"how":[19,30],"to":[20,31],"effectively":[21],"use":[22],"acoustic/prosodic":[23],"features":[24,34,70,98],"extractive":[26],"meeting":[27],"summarization,":[28],"and":[29,37,85,96],"integrate":[32],"prosodic":[33,46,69,95],"with":[35],"lexical":[36],"structural":[38],"further":[41,100],"improvement.":[42],"To":[43],"properly":[44],"represent":[45],"features,":[47],"propose":[49],"different":[50],"normalization":[51],"methods":[52],"based":[53],"on":[54,80],"speaker,":[55],"topic,":[56],"or":[57],"local":[58],"context":[59],"information.":[60],"Our":[61],"experimental":[62],"results":[63],"show":[64],"using":[66,76],"only":[67],"the":[68,77,82,94,103],"achieve":[72],"better":[73],"performance":[74],"non-prosodic":[78,97],"both":[81],"human":[83],"transcripts":[84],"recognition":[86],"output.":[87],"addition,":[89],"a":[90],"decision-level":[91],"combination":[92],"of":[93],"yields":[99],"gain,":[101],"outperforming":[102],"individual":[104],"models.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
