{"id":"https://openalex.org/W4387172191","doi":"https://doi.org/10.3233/faia230620","title":"Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture","display_name":"Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387172191","doi":"https://doi.org/10.3233/faia230620"},"language":"en","primary_location":{"id":"doi:10.3233/faia230620","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230620","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230620","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230620","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100378881","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0002-0377-6985"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091475774","display_name":"Baokui Li","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baokui Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101588536","display_name":"Wangshu Zhang","orcid":"https://orcid.org/0009-0005-6300-5559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wangshu Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101847186","display_name":"Changlin Yang","orcid":"https://orcid.org/0009-0006-8556-4068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changlin Yang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769175","display_name":"Yi\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-9497-9672"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yicheng Chen","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071218201","display_name":"Sen Hu","orcid":"https://orcid.org/0000-0001-9813-5330"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen Hu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077892353","display_name":"Tengfei Xu","orcid":"https://orcid.org/0000-0001-6511-3979"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teng Xu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100758089","display_name":"Jiwei Li","orcid":"https://orcid.org/0000-0001-5294-8504"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34304794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9979000091552734,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.741802990436554},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.6547272205352783},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5917220711708069},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5489070415496826},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.540747880935669},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5188556909561157},{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.48198622465133667},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4565981328487396},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.4114251434803009},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3946242034435272},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3752779960632324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35877639055252075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35377568006515503},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20775055885314941},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.16589626669883728},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07761403918266296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0773058831691742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741802990436554},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.6547272205352783},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5917220711708069},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5489070415496826},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.540747880935669},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5188556909561157},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.48198622465133667},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4565981328487396},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.4114251434803009},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3946242034435272},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3752779960632324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35877639055252075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35377568006515503},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20775055885314941},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.16589626669883728},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07761403918266296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0773058831691742},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230620","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230620","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230620","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230620","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230620","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230620","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387172191.pdf","grobid_xml":"https://content.openalex.org/works/W4387172191.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1525595230","https://openalex.org/W1969221592","https://openalex.org/W2154652894","https://openalex.org/W2270627573","https://openalex.org/W2469057590","https://openalex.org/W2574535369","https://openalex.org/W2581624817","https://openalex.org/W2787214294","https://openalex.org/W2891103209","https://openalex.org/W2891826200","https://openalex.org/W2898875342","https://openalex.org/W2947881255","https://openalex.org/W2948120406","https://openalex.org/W2950457956","https://openalex.org/W2950670227","https://openalex.org/W2952138241","https://openalex.org/W2963045354","https://openalex.org/W2963204221","https://openalex.org/W2963241825","https://openalex.org/W2969740599","https://openalex.org/W2970419734","https://openalex.org/W2981852735","https://openalex.org/W2982399380","https://openalex.org/W2996264288","https://openalex.org/W3015468748","https://openalex.org/W3026476702","https://openalex.org/W3034999214","https://openalex.org/W3035620455","https://openalex.org/W3039017601","https://openalex.org/W3085629518","https://openalex.org/W3097602436","https://openalex.org/W3099590177","https://openalex.org/W3111693342","https://openalex.org/W3156789018","https://openalex.org/W3170702395","https://openalex.org/W3176456866","https://openalex.org/W3177464472","https://openalex.org/W3207397751","https://openalex.org/W4224947967","https://openalex.org/W4226031465","https://openalex.org/W4226325987","https://openalex.org/W4226470037","https://openalex.org/W4287631150","https://openalex.org/W4288089799","https://openalex.org/W4293718192"],"related_works":["https://openalex.org/W2996124973","https://openalex.org/W2089705257","https://openalex.org/W4235368871","https://openalex.org/W2115204123","https://openalex.org/W4383427356","https://openalex.org/W3124708012","https://openalex.org/W2090639704","https://openalex.org/W2088753532","https://openalex.org/W2241383501","https://openalex.org/W1488641683"],"abstract_inverted_index":{"Knowledge-grounded":[0],"dialogue":[1,91],"(KGD)":[2],"has":[3],"become":[4],"increasingly":[5],"essential":[6],"for":[7,33,106],"online":[8],"services,":[9],"enabling":[10],"individuals":[11],"to":[12,35,61,125,162],"obtain":[13],"desired":[14],"information.":[15],"While":[16],"KGD":[17],"contains":[18],"knowledge":[19,22,57,74,128,170],"information,":[20],"most":[21],"points":[23,58,129],"are":[24],"fragmented":[25],"and":[26,39,72,83,94,101,123,158,169],"repeated":[27],"in":[28],"dialogues,":[29],"making":[30],"it":[31],"difficult":[32],"users":[34],"quickly":[36],"grasp":[37],"complete":[38,73],"key":[40],"information":[41,118],"from":[42],"a":[43,52,63,68,97,103],"collection":[44,64],"of":[45,55,65,137,166],"sessions.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,80],"propose":[51],"novel":[53,104],"task":[54],"dialogue-grounded":[56],"generation":[59],"(DialKPG)":[60],"condense":[62],"sessions":[66,160],"on":[67,87],"topic":[69],"into":[70],"succinct":[71],"points.":[75],"To":[76],"enable":[77],"empirical":[78],"study,":[79],"create":[81],"TopicDial":[82],"OpenDial":[84],"corpus":[85,92],"based":[86],"two":[88],"existing":[89],"knowledge-grounded":[90],"FaithDial":[93],"OpenDialKG":[95],"by":[96],"Three-Stage":[98],"Annotation":[99],"Framework,":[100],"establish":[102],"approach":[105],"DialKPG":[107],"task,":[108],"namely":[109],"MSAM":[110,114],"(Multi-Level":[111],"Salience-Aware":[112],"Mixture).":[113],"explicitly":[115],"incorporates":[116],"salient":[117],"at":[119,154],"the":[120,135,148],"token-level,":[121],"utterance-level,":[122],"session-level":[124],"better":[126],"guide":[127],"generation.":[130],"Extensive":[131],"experiments":[132],"have":[133],"verified":[134],"effectiveness":[136],"our":[138,144],"method":[139],"over":[140],"competitive":[141],"baselines.":[142],"Furthermore,":[143],"analysis":[145],"shows":[146],"that":[147],"proposed":[149],"model":[150],"is":[151],"particularly":[152],"effective":[153],"handling":[155],"long":[156],"inputs":[157],"multiple":[159],"due":[161],"its":[163],"strong":[164],"capability":[165],"duplicated":[167],"elimination":[168],"integration.":[171]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
