{"id":"https://openalex.org/W2031555614","doi":"https://doi.org/10.1109/slt.2012.6424268","title":"Two-layer mutually reinforced random walk for improved multi-party meeting summarization","display_name":"Two-layer mutually reinforced random walk for improved multi-party meeting summarization","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2031555614","doi":"https://doi.org/10.1109/slt.2012.6424268","mag":"2031555614"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2012.6424268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2012.6424268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Two-layer_mutually_reinforced_random_walk_for_improved_multi-party_meeting_summarization/6473804","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076610826","display_name":"Yun-Nung Chen","orcid":"https://orcid.org/0000-0003-1777-3942"},"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":true,"raw_author_name":"Yun-Nung Chen","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA","School of Computer Science, Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213-3891, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213-3891, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085262529","display_name":"Florian Metze","orcid":"https://orcid.org/0000-0002-6663-8600"},"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":"Florian Metze","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA","School of Computer Science, Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213-3891, USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213-3891, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076610826"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.9779,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93621155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"461","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.889550507068634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611691951751709},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6977418661117554},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6079732179641724},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5361874103546143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5132851600646973},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49448204040527344},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4788477420806885},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45744770765304565},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.411480575799942},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.19161909818649292}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.889550507068634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611691951751709},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6977418661117554},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6079732179641724},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5361874103546143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5132851600646973},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49448204040527344},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4788477420806885},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45744770765304565},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.411480575799942},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.19161909818649292},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/slt.2012.6424268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2012.6424268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:lti-1099","is_oa":false,"landing_page_url":"http://repository.cmu.edu/cgi/viewcontent.cgi?article=1099&context=lti","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Language Technologies Institute","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6473804","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:figshare.com:article/6473804","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Two-layer_mutually_reinforced_random_walk_for_improved_multi-party_meeting_summarization/6473804","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.1184/r1/6473804.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6473804.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/6473804","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Two-layer_mutually_reinforced_random_walk_for_improved_multi-party_meeting_summarization/6473804","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W268791909","https://openalex.org/W1483790978","https://openalex.org/W1880262756","https://openalex.org/W1971307269","https://openalex.org/W1994698466","https://openalex.org/W2002890640","https://openalex.org/W2023170106","https://openalex.org/W2066636486","https://openalex.org/W2097321121","https://openalex.org/W2107743791","https://openalex.org/W2110693578","https://openalex.org/W2111928519","https://openalex.org/W2121947440","https://openalex.org/W2131780215","https://openalex.org/W2145541974","https://openalex.org/W2147730187","https://openalex.org/W2152789372","https://openalex.org/W2154652894","https://openalex.org/W2169384404","https://openalex.org/W2171515436","https://openalex.org/W2408289997","https://openalex.org/W3101913037","https://openalex.org/W4233135949","https://openalex.org/W6628809255","https://openalex.org/W6677945368","https://openalex.org/W6682631176","https://openalex.org/W6684930139","https://openalex.org/W6713961106"],"related_works":["https://openalex.org/W2333425924","https://openalex.org/W2997340161","https://openalex.org/W2136038945","https://openalex.org/W3025834604","https://openalex.org/W4287777642","https://openalex.org/W1592081640","https://openalex.org/W2291725357","https://openalex.org/W1901264808","https://openalex.org/W2804625088","https://openalex.org/W3086303851"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"improved":[4],"approach":[5],"of":[6,40,135],"summarization":[7],"for":[8,143],"spoken":[9],"multi-party":[10],"interaction,":[11],"in":[12,35,94,139],"which":[13],"a":[14,33],"two-layer":[15,141],"graph":[16,42,142],"with":[17,114],"utterance-to-utterance,":[18],"speaker-to-speaker,":[19],"and":[20,27,38,44,65,91,121,128],"speaker-to-utterance":[21],"relations":[22],"is":[23,50,72],"constructed.":[24],"Each":[25],"utterance":[26,64],"each":[28],"speaker":[29,120,137],"are":[30],"represented":[31],"as":[32],"node":[34],"the":[36,41,45,53,56,59,63,66,95,97,112,115,118,133,140],"utterance-layer":[37],"speaker-layer":[39],"respectively,":[43],"edge":[46],"between":[47,55,70],"two":[48,57,60],"nodes":[49],"weighted":[51],"by":[52,74],"similarity":[54,76,82],"utterances,":[58],"speakers,":[61],"or":[62,80],"speaker.":[67],"The":[68],"relation":[69],"utterances":[71,108,116],"evaluated":[73],"lexical":[75],"via":[77,83],"word":[78],"overlap":[79],"topical":[81],"probabilistic":[84],"latent":[85],"semantic":[86],"analysis":[87],"(PLSA).":[88],"By":[89],"within-":[90],"between-layer":[92],"propagation":[93],"graph,":[96],"scores":[98,113],"from":[99,117],"different":[100],"layers":[101],"can":[102,109],"be":[103],"mutually":[104],"reinforced":[105],"so":[106],"that":[107],"automatically":[110],"share":[111],"same":[119],"similar":[122],"utterances.":[123],"For":[124],"both":[125],"ASR":[126],"output":[127],"manual":[129],"transcripts,":[130],"experiments":[131],"confirmed":[132],"efficacy":[134],"involving":[136],"information":[138],"summarization.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
