{"id":"https://openalex.org/W2145565331","doi":"https://doi.org/10.1109/asru.2007.4430108","title":"Improving lecture speech summarization using rhetorical information","display_name":"Improving lecture speech summarization using rhetorical information","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2145565331","doi":"https://doi.org/10.1109/asru.2007.4430108","mag":"2145565331"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2007.4430108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2007.4430108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","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"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Justin Jian Zhang","raw_affiliation_strings":["Human Language Technology Center, Electronic and Computer Engineering, University of Science and Technology (HKUST), Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Center, Electronic and Computer Engineering, University of Science and Technology (HKUST), Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110325576","display_name":"Ho Yin Chan","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"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ho Yin Chan","raw_affiliation_strings":["Human Language Technology Center, Electronic and Computer Engineering, University of Science and Technology (HKUST), Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Center, Electronic and Computer Engineering, University of Science and Technology (HKUST), Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"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"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pascale Fung","raw_affiliation_strings":["Human Language Technology Center, Electronic and Computer Engineering, University of Science and Technology (HKUST), Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Center, Electronic and Computer Engineering, University of Science and Technology (HKUST), Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9984999895095825,"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":0.9983000159263611,"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":0.9395448565483093},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.7998855113983154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7868623733520508},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5634117126464844},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5484552383422852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5047050714492798},{"id":"https://openalex.org/keywords/rhetorical-device","display_name":"Rhetorical device","score":0.4216013550758362},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39631617069244385}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9395448565483093},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.7998855113983154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868623733520508},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5634117126464844},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5484552383422852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5047050714492798},{"id":"https://openalex.org/C62291451","wikidata":"https://www.wikidata.org/wiki/Q1762471","display_name":"Rhetorical device","level":3,"score":0.4216013550758362},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39631617069244385},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/asru.2007.4430108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2007.4430108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.152.5229","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.5229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.ust.hk/~pascale/Publications/conference/2007/ASRU2007-2.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-40547","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-40547","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":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6399999856948853,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W116249572","https://openalex.org/W157135116","https://openalex.org/W163537071","https://openalex.org/W204364960","https://openalex.org/W397522103","https://openalex.org/W1486798440","https://openalex.org/W1560614898","https://openalex.org/W1822699154","https://openalex.org/W1828401780","https://openalex.org/W1969743400","https://openalex.org/W1986304067","https://openalex.org/W1997662901","https://openalex.org/W1998720920","https://openalex.org/W2002875620","https://openalex.org/W2032607052","https://openalex.org/W2081193939","https://openalex.org/W2097321121","https://openalex.org/W2100845659","https://openalex.org/W2106009717","https://openalex.org/W2106033504","https://openalex.org/W2123409957","https://openalex.org/W2124449078","https://openalex.org/W2134978843","https://openalex.org/W2147574893","https://openalex.org/W2153635508","https://openalex.org/W2169297889","https://openalex.org/W3120421331","https://openalex.org/W3216401400","https://openalex.org/W4299153220","https://openalex.org/W4300443328","https://openalex.org/W6606364355","https://openalex.org/W6608281456","https://openalex.org/W6638575021","https://openalex.org/W6676159905","https://openalex.org/W6844566651"],"related_works":["https://openalex.org/W2352792643","https://openalex.org/W2243559817","https://openalex.org/W2385531304","https://openalex.org/W4307700106","https://openalex.org/W2392541822","https://openalex.org/W3165810688","https://openalex.org/W2392159877","https://openalex.org/W2394360384","https://openalex.org/W3008467011","https://openalex.org/W2381193109"],"abstract_inverted_index":{"We":[0,19,43,77,102,155],"propose":[1],"a":[2,45,92,160],"novel":[3],"method":[4],"of":[5,8,15,49,53,95,99,148,187],"extractive":[6,168],"summarization":[7,150,169],"lecture":[9,41,64,114,179,188],"speech":[10,166,180],"based":[11],"on":[12,81],"unsupervised":[13],"learning":[14],"its":[16,124],"rhetorical":[17,25,97,118,153],"structure.":[18],"present":[20,44],"empirical":[21],"evidence":[22],"showing":[23],"that":[24,104,176],"structure":[26,98,119],"is":[27,32,67,69,75,91,140],"the":[28,50,89,96,100,144,174,184],"underlying":[29],"semantics":[30],"which":[31],"then":[33],"rendered":[34],"in":[35,40,121,165,178],"linguistic":[36,54],"and":[37,58,84],"acoustic/prosodic":[38],"forms":[39],"speech.":[42,115,189],"first":[46],"thorough":[47],"investigation":[48],"relative":[51],"contribution":[52],"versus":[55],"acoustic":[56],"features":[57,106],"show":[59,157],"that,":[60,158],"at":[61,130],"least":[62],"for":[63],"speech,":[65],"what":[66],"said":[68],"more":[70],"important":[71],"than":[72],"how":[73],"it":[74],"said.":[76],"base":[78],"our":[79,122],"experiments":[80],"conference":[82],"speeches":[83],"corresponding":[85],"presentation":[86],"slides":[87],"as":[88],"latter":[90],"faithful":[93],"description":[94],"former.":[101],"find":[103],"discourse":[105],"from":[107],"broadcast":[108],"news":[109],"are":[110],"not":[111,182],"applicable":[112],"to":[113,143],"By":[116],"using":[117],"information":[120],"summarizer,":[123],"performance":[125,139,151],"reaches":[126],"67.87%":[127],"ROUGE-L":[128,146],"F-measure":[129,147],"30%":[131],"compression,":[132],"surpassing":[133],"all":[134],"previously":[135],"reported":[136],"results.":[137],"The":[138],"also":[141,156],"superior":[142],"66.47%":[145],"baseline":[149],"without":[152],"information.":[154],"despite":[159],"29.7%":[161],"character":[162],"error":[163],"rate":[164],"recognition,":[167],"performs":[170],"relatively":[171],"well,":[172],"underlining":[173],"fact":[175],"spontaneity":[177],"does":[181],"affect":[183],"central":[185],"meaning":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}