{"id":"https://openalex.org/W2921273687","doi":"https://doi.org/10.1109/icassp.2019.8682580","title":"Question Answering for Spoken Lecture Processing","display_name":"Question Answering for Spoken Lecture Processing","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2921273687","doi":"https://doi.org/10.1109/icassp.2019.8682580","mag":"2921273687"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5074204189","display_name":"Merve \u00dcnl\u00fc Menev\u015fe","orcid":"https://orcid.org/0000-0002-5405-0068"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Merve Unlu","raw_affiliation_strings":["Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032284977","display_name":"Ebru Ar\u0131soy","orcid":null},"institutions":[{"id":"https://openalex.org/I1301968116","display_name":"MEF University","ror":"https://ror.org/05jz51y94","country_code":"TR","type":"education","lineage":["https://openalex.org/I1301968116"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ebru Arisoy","raw_affiliation_strings":["MEF University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEF University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1301968116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055086464","display_name":"Murat Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-7435-8510"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Murat Saraclar","raw_affiliation_strings":["Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074204189"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":1.8861,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89225744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7365","last_page":"7369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12031","display_name":"Speech and dialogue systems","score":0.9980999827384949,"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":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.7298734188079834},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6012956500053406},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5033494830131531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41332775354385376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298734188079834},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6012956500053406},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5033494830131531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41332775354385376}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2019.8682580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:gcris.mef.edu.tr:20.500.11779/980","is_oa":false,"landing_page_url":"https://gcris.mef.edu.tr/items/eb77800f-8603-4113-9f8c-97b47aebbae2/request-a-copy?bitstream=9154e7f8-74c6-40dd-8e19-98561ab7574f","pdf_url":null,"source":{"id":"https://openalex.org/S7407055184","display_name":"MEF University Institutional Repository","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":"Conference Object"},{"id":"pmh:oai:openaccess.mef.edu.tr:20.500.11779/980","is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.11779/980","pdf_url":null,"source":{"id":"https://openalex.org/S4306400448","display_name":"MEF University Institutional Repository (MEF University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1301968116","host_organization_name":"MEF University","host_organization_lineage":["https://openalex.org/I1301968116"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W60011412","https://openalex.org/W193643080","https://openalex.org/W1493340804","https://openalex.org/W1524333225","https://openalex.org/W1631260214","https://openalex.org/W2129862535","https://openalex.org/W2160407676","https://openalex.org/W2169384404","https://openalex.org/W2507756961","https://openalex.org/W2516930406","https://openalex.org/W2551396370","https://openalex.org/W2740747242","https://openalex.org/W2796622769","https://openalex.org/W2885485938","https://openalex.org/W2899771611","https://openalex.org/W2962904995","https://openalex.org/W2963080779","https://openalex.org/W2963323070","https://openalex.org/W2963564796","https://openalex.org/W2963748441","https://openalex.org/W4295253143","https://openalex.org/W6607882443","https://openalex.org/W6631362777","https://openalex.org/W6679455837","https://openalex.org/W6684930139","https://openalex.org/W6725207838","https://openalex.org/W6726253136","https://openalex.org/W6729654139","https://openalex.org/W6751097180","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2115758952","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,45],"question":[4,117],"answering":[5],"(QA)":[6],"system":[7,19,98],"developed":[8,142],"for":[9,133],"spoken":[10],"lecture":[11,29,80,107],"processing.":[12],"The":[13,121],"questions":[14,52],"are":[15,26],"presented":[16],"to":[17,33,54,74],"the":[18,24,34,42,51,61,65,71,75,79,93,96,104,138,141],"in":[20],"written":[21],"form":[22],"and":[23,49,112,136],"answers":[25,50,66,88],"returned":[27],"from":[28],"videos.":[30,81],"In":[31],"contrast":[32],"widely":[35],"studied":[36],"reading":[37,130],"comprehension":[38,131],"style":[39],"QA":[40,97,143],"-":[41,57],"machine":[43],"understands":[44],"passage":[46,56,119],"of":[47,63,78,95,106,140],"text":[48,69,72,91],"related":[53],"that":[55,86],"our":[58,134],"task":[59,135],"introduces":[60],"challenge":[62],"searching":[64,87],"on":[67,89],"longer":[68,90],"where":[70],"corresponds":[73],"erroneous":[76],"transcripts":[77],"Our":[82],"initial":[83],"experiments":[84],"show":[85],"degrades":[92],"performance":[94,139],"drastically.":[99],"Therefore,":[100],"we":[101],"propose":[102],"splitting":[103],"transcriptions":[105],"videos":[108],"into":[109],"short":[110],"passages":[111],"determining":[113],"passage-question":[114],"matching":[115],"using":[116],"aware":[118],"representations.":[120],"proposed":[122],"approach":[123],"lets":[124],"us":[125],"utilize":[126],"competitive":[127],"neural":[128],"network-based":[129],"models":[132],"improves":[137],"system.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}
