{"id":"https://openalex.org/W2439194","doi":"https://doi.org/10.21437/interspeech.2006-430","title":"Summarization of spontaneous conversations","display_name":"Summarization of spontaneous conversations","publication_year":2006,"publication_date":"2006-09-17","ids":{"openalex":"https://openalex.org/W2439194","doi":"https://doi.org/10.21437/interspeech.2006-430","mag":"2439194"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2006-430","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","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/A5016892586","display_name":"Xiaodan Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaodan Zhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052428595","display_name":"Gerald Penn","orcid":"https://orcid.org/0000-0003-3553-8305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerald Penn","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016892586"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.3041,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.97693952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"paper 1899","last_page":"Wed1WeS.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9977999925613403,"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":0.9972000122070312,"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":0.9784290790557861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8572565317153931},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6753565669059753},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6109322905540466},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5828509330749512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4950031638145447},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4784688651561737},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.4720509946346283},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.440542608499527}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9784290790557861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8572565317153931},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6753565669059753},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6109322905540466},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5828509330749512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950031638145447},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4784688651561737},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.4720509946346283},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.440542608499527}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2006-430","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2006-430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2006","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.221.1098","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.1098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.toronto.edu/%7Egpenn/papers/zhu-penn-cscw06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1516768428","https://openalex.org/W1909089697","https://openalex.org/W2014571624","https://openalex.org/W2100845659"],"related_works":["https://openalex.org/W3164984162","https://openalex.org/W2104677027","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W1990695371","https://openalex.org/W1995281866","https://openalex.org/W2365100044","https://openalex.org/W1943954554"],"abstract_inverted_index":{"Spontaneous":[0],"conversations":[1,67,82,135],"are":[2,29,96],"an":[3],"integral":[4],"element":[5],"in":[6,44,126,163],"many":[7],"CSCW":[8,45],"environments.":[9],"Although":[10],"speech":[11,27,41,50,56,86,101,160],"is":[12,47,68,75,106],"often":[13,83],"regarded":[14],"as":[15,174],"the":[16,110,123,131],"most":[17,55],"natural":[18],"and":[19],"effective":[20],"way":[21],"of":[22,112,140],"communication":[23],"between":[24],"human":[25],"beings,":[26],"data":[28,42],"not":[30,144,169],"efficient":[31],"for":[32,71,79],"quick":[33],"review.":[34],"One":[35],"solution":[36],"to":[37,48,90,100,108,153],"help":[38],"people":[39],"access":[40],"efficiently":[43],"environments":[46],"conduct":[49],"summarization.":[51],"Up":[52],"till":[53],"now,":[54],"summarization":[57,114,150],"research":[58],"has":[59],"focused":[60],"on":[61],"broadcast":[62],"news;":[63],"nevertheless":[64],"summarizing":[65],"spontaneous":[66,81,134],"more":[69,77,85,98],"valuable":[70],"CSCW.":[72],"The":[73],"task":[74],"also":[76,97],"challenging,":[78],"example,":[80],"contain":[84],"disfluencies,":[87,161],"which":[88,148,162],"need":[89],"be":[91],"coped":[92],"with":[93,117,136],"properly;":[94],"they":[95],"vulnerable":[99],"recognition":[102],"errors.":[103],"This":[104],"demonstration":[105],"built":[107],"show":[109],"prototype":[111],"our":[113,120,154,157],"system.":[115],"Compared":[116],"previous":[118,165],"work,":[119],"summarizer":[121,158],"addresses":[122],"problem":[124],"further":[125],"several":[127],"important":[128],"respects.":[129],"First,":[130],"system":[132],"summarizes":[133],"a":[137],"wide":[138],"variety":[139],"information/features":[141],"that":[142],"have":[143],"been":[145],"explored":[146],"before,":[147],"improve":[149],"performance":[151],"according":[152],"experiments.":[155],"Second,":[156],"handles":[159],"all":[164],"work":[166],"was":[167],"either":[168],"explicitly":[170],"handled":[171],"or":[172],"removed":[173],"noise.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
