{"id":"https://openalex.org/W3154805270","doi":"https://doi.org/10.1145/3404835.3463058","title":"LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing","display_name":"LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3154805270","doi":"https://doi.org/10.1145/3404835.3463058","mag":"3154805270"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5036235444","display_name":"Liqiang Song","orcid":"https://orcid.org/0000-0003-4188-0297"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liqiang Song","raw_affiliation_strings":["Ping An Technology Co, LTd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co, LTd, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002977113","display_name":"Mengqiu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqiu Yao","raw_affiliation_strings":["Ping An Technology Co, LTd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co, LTd, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040084735","display_name":"Ye Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Bi","raw_affiliation_strings":["Ping An Technology Co, LTd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co, LTd, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064729482","display_name":"Zhenyu Wu","orcid":"https://orcid.org/0000-0002-7183-6943"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wu","raw_affiliation_strings":["Ping An Technology Co, LTd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co, LTd, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707507","display_name":"Jianming Wang","orcid":"https://orcid.org/0000-0002-9151-284X"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Wang","raw_affiliation_strings":["Ping An Technology Co, LTd, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co, LTd, Shenzhen, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101623806","display_name":"Jing Xiao","orcid":"https://orcid.org/0009-0002-6516-1916"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiao","raw_affiliation_strings":["Ping An Technology Co, LTd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology Co, LTd, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078983072","display_name":"Wen Juan","orcid":"https://orcid.org/0009-0009-0373-3553"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wen","raw_affiliation_strings":["Ping An Life Insurance Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Life Insurance Company, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045927366","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0002-8546-0545"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yu","raw_affiliation_strings":["Ping An Life Insurance Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An Life Insurance Company, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036235444"],"corresponding_institution_ids":["https://openalex.org/I4401726822"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61026558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1960","last_page":"1964"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9998000264167786,"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":0.9969000220298767,"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":0.7606820464134216},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6089869737625122},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5363038778305054},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.47565481066703796},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4694024622440338},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.45405203104019165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42355817556381226},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42066001892089844},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4119794964790344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16072720289230347},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14343369007110596},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1263934075832367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606820464134216},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6089869737625122},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5363038778305054},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.47565481066703796},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4694024622440338},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.45405203104019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42355817556381226},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42066001892089844},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4119794964790344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16072720289230347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14343369007110596},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1263934075832367},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3463058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2438667436","https://openalex.org/W2798367796","https://openalex.org/W2950765829","https://openalex.org/W2963009325","https://openalex.org/W2964006684","https://openalex.org/W2964101860","https://openalex.org/W2970404807","https://openalex.org/W2998228050","https://openalex.org/W3005419354","https://openalex.org/W3034573951","https://openalex.org/W3037932933"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3011883280","https://openalex.org/W4226029207","https://openalex.org/W2215635302"],"abstract_inverted_index":{"Different":[0],"from":[1],"traditional":[2],"task-oriented":[3],"and":[4,20,32,61,81,98,117],"open-domain":[5],"dialogue":[6,49,68,75,82,94,101,137],"systems,":[7],"insurance":[8,54,136],"agents":[9],"aim":[10],"to":[11,48,110],"engage":[12],"customers":[13],"for":[14],"helping":[15],"them":[16,36],"satisfy":[17],"specific":[18],"demands":[19],"emotional":[21],"companionship.":[22],"As":[23],"a":[24,66,86],"result,":[25],"customer-to-agent":[26],"dialogues":[27],"are":[28,37],"usually":[29],"very":[30],"long,":[31],"many":[33],"turns":[34],"of":[35,113],"pure":[38,120],"chit-chat":[39],"without":[40],"any":[41],"useful":[42],"marketing":[43],"clues.":[44],"This":[45],"brings":[46],"challenges":[47],"state":[50,69,83],"tracking":[51,70],"task":[52],"in":[53],"marketing.":[55],"To":[56],"deal":[57],"with":[58],"these":[59],"long":[60],"sparse":[62],"dialogues,":[63],"we":[64],"propose":[65],"new":[67],"architecture":[71],"containing":[72],"three":[73],"components:":[74],"encoder,":[76],"Smart":[77],"History":[78],"Collector":[79],"(SHC)":[80],"classifier.":[84],"SHC,":[85,105],"deliberately":[87],"designed":[88],"memory":[89],"network,":[90],"effectively":[91],"selects":[92],"relevant":[93],"history":[95,102],"via":[96],"slot-attention,":[97],"then":[99],"updates":[100],"memory.":[103],"With":[104],"our":[106,126],"model":[107],"is":[108],"able":[109],"keep":[111],"track":[112],"the":[114,131],"vital":[115],"information":[116],"filter":[118],"out":[119],"chit-chat.":[121],"Experimental":[122],"results":[123],"demonstrate":[124],"that":[125],"proposed":[127],"LS-DST":[128],"significantly":[129],"outperforms":[130],"state-of-the-art":[132],"baselines":[133],"on":[134],"real":[135],"dataset.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}