{"id":"https://openalex.org/W3146159709","doi":"https://doi.org/10.1109/slt48900.2021.9383568","title":"Personalized Extractive Summarization for a News Dialogue System","display_name":"Personalized Extractive Summarization for a News Dialogue System","publication_year":2021,"publication_date":"2021-01-19","ids":{"openalex":"https://openalex.org/W3146159709","doi":"https://doi.org/10.1109/slt48900.2021.9383568","mag":"3146159709"},"language":"en","primary_location":{"id":"doi:10.1109/slt48900.2021.9383568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt48900.2021.9383568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Spoken Language Technology Workshop (SLT)","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/A5108266075","display_name":"Hiroaki Takatsu","orcid":"https://orcid.org/0009-0002-8374-3901"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroaki Takatsu","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029502726","display_name":"Mayu Okuda","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mayu Okuda","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078242198","display_name":"Yoichi Matsuyama","orcid":"https://orcid.org/0000-0003-0282-6482"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Matsuyama","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102024141","display_name":"Hiroshi Honda","orcid":"https://orcid.org/0000-0002-9171-5663"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Honda","raw_affiliation_strings":["Honda Motor Co., Ltd., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Honda Motor Co., Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007054949","display_name":"Shinya Fujie","orcid":null},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinya Fujie","raw_affiliation_strings":["Chiba Institute of Technology, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology, Chiba, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101188700","display_name":"Tetsunori Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsunori Kobayashi","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108266075"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67003345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":null,"first_page":"1044","last_page":"1051"},"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9968000054359436,"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":0.8949797749519348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8312382102012634},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6958882808685303},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6405778527259827},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5900257229804993},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5592333674430847},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4964659810066223},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43455618619918823},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.4344479441642761},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.4101920425891876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37443792819976807},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2958800196647644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06811779737472534}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8949797749519348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312382102012634},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6958882808685303},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6405778527259827},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5900257229804993},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5592333674430847},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4964659810066223},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43455618619918823},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.4344479441642761},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.4101920425891876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37443792819976807},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2958800196647644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06811779737472534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt48900.2021.9383568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt48900.2021.9383568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W165283731","https://openalex.org/W211558682","https://openalex.org/W1525595230","https://openalex.org/W1545124403","https://openalex.org/W1608295134","https://openalex.org/W1660606671","https://openalex.org/W1969279572","https://openalex.org/W2022605955","https://openalex.org/W2028009320","https://openalex.org/W2029242918","https://openalex.org/W2036371118","https://openalex.org/W2038021996","https://openalex.org/W2040521910","https://openalex.org/W2064675550","https://openalex.org/W2102597631","https://openalex.org/W2103050265","https://openalex.org/W2107858678","https://openalex.org/W2109923210","https://openalex.org/W2110693578","https://openalex.org/W2121925836","https://openalex.org/W2131774270","https://openalex.org/W2138701584","https://openalex.org/W2138909885","https://openalex.org/W2152992673","https://openalex.org/W2154652894","https://openalex.org/W2155524176","https://openalex.org/W2222334897","https://openalex.org/W2250526206","https://openalex.org/W2251530788","https://openalex.org/W2251654079","https://openalex.org/W2307381258","https://openalex.org/W2567525733","https://openalex.org/W2574535369","https://openalex.org/W2597655663","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2795175173","https://openalex.org/W2800965800","https://openalex.org/W2808293684","https://openalex.org/W2896457183","https://openalex.org/W2904002921","https://openalex.org/W2952138241","https://openalex.org/W2962884827","https://openalex.org/W2962985882","https://openalex.org/W2963045354","https://openalex.org/W2963212158","https://openalex.org/W2963227052","https://openalex.org/W2963341956","https://openalex.org/W2963385935","https://openalex.org/W2963386218","https://openalex.org/W2963403868","https://openalex.org/W2963545005","https://openalex.org/W2963548995","https://openalex.org/W2963768805","https://openalex.org/W2963926728","https://openalex.org/W2969153151","https://openalex.org/W2970830889","https://openalex.org/W2987205951","https://openalex.org/W2998217613","https://openalex.org/W3101913037","https://openalex.org/W3128680478","https://openalex.org/W4241336194","https://openalex.org/W4297979306","https://openalex.org/W4385245566","https://openalex.org/W6606787761","https://openalex.org/W6608516570","https://openalex.org/W6637027983","https://openalex.org/W6676385177","https://openalex.org/W6676453607","https://openalex.org/W6682631176","https://openalex.org/W6691320870","https://openalex.org/W6691464791","https://openalex.org/W6692041166","https://openalex.org/W6692878851","https://openalex.org/W6731948947","https://openalex.org/W6735377749","https://openalex.org/W6737479944","https://openalex.org/W6739901393","https://openalex.org/W6748148878","https://openalex.org/W6749986899","https://openalex.org/W6751996919","https://openalex.org/W6755207826","https://openalex.org/W6790604759","https://openalex.org/W7015831105"],"related_works":["https://openalex.org/W2104677027","https://openalex.org/W3164984162","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W1990695371","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W2099859325","https://openalex.org/W2365100044","https://openalex.org/W2474342320"],"abstract_inverted_index":{"In":[0,20,88],"modern":[1],"society,":[2],"people's":[3],"interests":[4,34],"and":[5,56,79,107],"preferences":[6],"are":[7],"diversifying.":[8],"Along":[9],"with":[10],"this,":[11],"the":[12,58,73,85,111,119,132,153],"demand":[13],"for":[14,27,94],"personalized":[15],"summarization":[16],"technology":[17],"is":[18],"increasing.":[19],"this":[21],"study,":[22],"we":[23,90],"propose":[24,51,91],"a":[25,52,65,92],"method":[26,53,93],"generating":[28],"summaries":[29,128,149],"tailored":[30,67],"to":[31,42,63,68],"each":[32,69],"user's":[33,70],"using":[35,110,139],"profile":[36,61,81,141],"features":[37,62,75,82],"obtained":[38,59,76,83],"from":[39,84],"questionnaires":[40],"administered":[41],"users":[43],"of":[44,113,123,134,155],"our":[45,124],"spoken-dialogue":[46],"news":[47],"delivery":[48],"system.":[49],"We":[50],"that":[54,104,127],"collects":[55],"uses":[57],"user":[60,80,140],"generate":[64],"summary":[66],"interests,":[71],"specifically,":[72],"sentence":[74],"by":[77,97,118],"BERT":[78],"questionnaire":[86],"result.":[87],"addition,":[89],"extracting":[95],"sentences":[96,116,137],"solving":[98],"an":[99],"integer":[100],"linear":[101],"programming":[102],"problem":[103],"considers":[105],"redundancy":[106],"context":[108],"coherence,":[109],"degree":[112,133],"interest":[114,135],"in":[115,136],"estimated":[117,138],"model.":[120],"The":[121],"results":[122],"experiments":[125],"confirmed":[126],"generated":[129],"based":[130,150],"on":[131,152],"information":[142,145],"can":[143],"transmit":[144],"more":[146],"efficiently":[147],"than":[148],"solely":[151],"importance":[154],"sentences.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}