{"id":"https://openalex.org/W2131780215","doi":"https://doi.org/10.1109/slt.2010.5700819","title":"Using spoken utterance compression for meeting summarization: A pilot study","display_name":"Using spoken utterance compression for meeting summarization: A pilot study","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2131780215","doi":"https://doi.org/10.1109/slt.2010.5700819","mag":"2131780215"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2010.5700819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2010.5700819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Spoken Language Technology Workshop","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/A5100394562","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0001-7141-5105"},"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":true,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Computer Science Department, University of Texas, Dallas, USA","[Computer Science Department, The University of Texas at Dallas, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Texas, Dallas, USA","institution_ids":[]},{"raw_affiliation_string":"[Computer Science Department, The University of Texas at Dallas, USA]","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693653","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-4393-1791"},"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":["Computer Science Department, University of Texas, Dallas, USA","[Computer Science Department, The University of Texas at Dallas, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Texas, Dallas, USA","institution_ids":[]},{"raw_affiliation_string":"[Computer Science Department, The University of Texas at Dallas, USA]","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100394562"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":4.1805,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.94188299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"37","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9691966772079468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8527804017066956},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.8411998748779297},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7211066484451294},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6466293334960938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6145851016044617},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5944353938102722},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5506116151809692},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5330468416213989},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.049588292837142944}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9691966772079468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8527804017066956},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8411998748779297},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7211066484451294},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6466293334960938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6145851016044617},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5944353938102722},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5506116151809692},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5330468416213989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.049588292837142944},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/slt.2010.5700819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2010.5700819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Spoken Language Technology Workshop","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.8500","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.8500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucf.edu/%7Efeiliu/papers/SLT_2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W124719037","https://openalex.org/W1503312748","https://openalex.org/W1505175215","https://openalex.org/W1552023264","https://openalex.org/W1591607137","https://openalex.org/W1753146643","https://openalex.org/W1860567634","https://openalex.org/W2001122765","https://openalex.org/W2011950632","https://openalex.org/W2017187090","https://openalex.org/W2064265854","https://openalex.org/W2100845659","https://openalex.org/W2109324260","https://openalex.org/W2113429086","https://openalex.org/W2115322217","https://openalex.org/W2118681326","https://openalex.org/W2122111711","https://openalex.org/W2125420881","https://openalex.org/W2127772224","https://openalex.org/W2128774237","https://openalex.org/W2133182690","https://openalex.org/W2135303634","https://openalex.org/W2135843243","https://openalex.org/W2147574893","https://openalex.org/W2154652894","https://openalex.org/W6605103181","https://openalex.org/W6630051584","https://openalex.org/W6630058488","https://openalex.org/W6632881528","https://openalex.org/W6637625583","https://openalex.org/W6638910383","https://openalex.org/W6676962450","https://openalex.org/W6678417083","https://openalex.org/W6681962584","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/W1998701884"],"abstract_inverted_index":{"Most":[0],"previous":[1],"work":[2],"on":[3,7,85],"meeting":[4,45,87,104],"summarization":[5,88,109,119],"focused":[6],"extractive":[8,118],"approaches;":[9],"however,":[10],"directly":[11],"concatenating":[12],"the":[13,34,41,49,80,86,102],"extracted":[14],"spoken":[15,36],"utterances":[16,37,43],"may":[17],"not":[18],"form":[19],"a":[20,54,63,68,127],"good":[21],"summary.":[22],"In":[23,111],"this":[24],"paper,":[25],"we":[26],"investigate":[27],"if":[28,39],"it":[29],"is":[30,126],"feasible":[31],"to":[32,130],"compress":[33],"transcribed":[35],"and":[38,58,75,94,98],"using":[40,62,90,101,113],"compressed":[42,91,103,123],"benefits":[44],"summarization.":[46,132],"We":[47,78],"model":[48,65],"utterance":[50,83],"compression":[51,84,115],"task":[52,89],"as":[53],"sequence":[55],"labeling":[56],"problem,":[57],"show":[59],"satisfying":[60],"performance":[61],"CRF":[64],"that":[66,100],"incorporates":[67],"variety":[69],"of":[70,82],"features":[71],"capturing":[72],"lexical,":[73],"syntactic,":[74],"discourse":[76],"information.":[77],"evaluate":[79],"impact":[81],"sentences":[92],"(pre-compression)":[93],"original":[95],"transcripts":[96,105],"(post-compression),":[97],"find":[99],"yields":[106],"slightly":[107],"better":[108],"performance.":[110],"general,":[112],"sentence":[114],"together":[116],"with":[117],"can":[120],"generate":[121],"reasonable":[122],"summaries.":[124],"This":[125],"step":[128],"closer":[129],"abstractive":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}