{"id":"https://openalex.org/W2070950933","doi":"https://doi.org/10.1109/icassp.2010.5494970","title":"Learning deep rhetorical structure for extractive speech summarization","display_name":"Learning deep rhetorical structure for extractive speech summarization","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2070950933","doi":"https://doi.org/10.1109/icassp.2010.5494970","mag":"2070950933"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5494970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052968355","display_name":"Justin Jian Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Justin Jian Zhang","raw_affiliation_strings":["Human Language Technology Center, Department of Electronic & Computer Engineering, Hong Kong University of Science & Technology (HKUST), Hong Kong, China","Human Language Technology Center, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Center, Department of Electronic & Computer Engineering, Hong Kong University of Science & Technology (HKUST), Hong Kong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Human Language Technology Center, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065856469","display_name":"Pascale Fung","orcid":"https://orcid.org/0000-0002-0628-7132"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pascale Fung","raw_affiliation_strings":["Human Language Technology Center, Department of Electronic & Computer Engineering, Hong Kong University of Science & Technology (HKUST), Hong Kong, China","Human Language Technology Center, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Center, Department of Electronic & Computer Engineering, Hong Kong University of Science & Technology (HKUST), Hong Kong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Human Language Technology Center, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"5302","last_page":"5305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9934999942779541,"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":0.9449890851974487},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.8398694396018982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.82649827003479},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7199118137359619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859627962112427},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6704472899436951},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5829008221626282},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4721488952636719},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4343167245388031},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41230806708335876},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40509268641471863},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3079182505607605}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9449890851974487},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.8398694396018982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82649827003479},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7199118137359619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859627962112427},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6704472899436951},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5829008221626282},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4721488952636719},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4343167245388031},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41230806708335876},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40509268641471863},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3079182505607605},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5494970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-6802","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1520-6149&rft.volume=&rft.issue=&rft.date=2010&rft.spage=5302&rft.aulast=Zhang&rft.aufirst=J.J.&rft.atitle=Learning+deep+rhetorical+structure+for+extractive+speech+summarization&rft.title=ICASSP%2C+IEEE+International+Conference+on+Acoustics%2C+Speech+and+Signal+Processing+-+Proceedings","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W140984771","https://openalex.org/W1486798440","https://openalex.org/W1560614898","https://openalex.org/W1969743400","https://openalex.org/W1987552651","https://openalex.org/W2097314712","https://openalex.org/W2106009717","https://openalex.org/W2118370253","https://openalex.org/W2139686264","https://openalex.org/W2145565331","https://openalex.org/W2169323568","https://openalex.org/W2442495973","https://openalex.org/W2949952668","https://openalex.org/W4299153220","https://openalex.org/W6676159905","https://openalex.org/W6677904634","https://openalex.org/W6680627905","https://openalex.org/W6681407038","https://openalex.org/W6844566651"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W2150160875","https://openalex.org/W1517524280","https://openalex.org/W4306886878","https://openalex.org/W4323520239","https://openalex.org/W3111372071"],"abstract_inverted_index":{"Extractive":[0],"summarization":[1,33,86],"of":[2,24,37,61,121],"conference":[3,25],"and":[4,12,29,64,114],"lecture":[5,84],"speech":[6,26,85],"is":[7,27,40,110],"useful":[8],"for":[9,16],"online":[10],"learning":[11],"references.":[13],"We":[14,48,67],"show":[15,68],"the":[17,43,58,62,90,100],"first":[18],"time":[19],"that":[20,69],"deep(er)":[21],"rhetorical":[22,38,59,94,124],"parsing":[23],"possible":[28],"helpful":[30],"to":[31,55],"extractive":[32],"task.":[34],"This":[35],"type":[36],"structures":[39],"evident":[41],"in":[42,83],"corresponding":[44],"presentation":[45],"slide":[46],"structures.":[47],"propose":[49],"using":[50,122],"Hidden":[51],"Markov":[52],"SVM":[53],"(HMSVM)":[54],"iteratively":[56],"learn":[57],"structure":[60,125],"speeches":[63],"summarize":[65],"them.":[66],"system":[70,92],"based":[71],"on":[72],"HMSVM":[73],"gives":[74],"a":[75,79,103,118],"64.3%":[76],"ROUGE-L":[77],"F-measure,":[78],"10.1%":[80],"absolute":[81],"increase":[82],"performance":[87],"compared":[88],"with":[89,102],"baseline":[91,101],"without":[93],"information.":[95],"Our":[96,107],"method":[97,120],"equally":[98],"outperforms":[99],"conventional":[104],"discourse":[105],"feature.":[106],"proposed":[108],"approach":[109],"more":[111],"efficient":[112],"than":[113],"also":[115],"improves":[116],"upon":[117],"previous":[119],"shallow":[123],"parsing.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}