乐胖代购免代理版

{"id":"https://openalex.org/W4385567884","doi":"https://doi.org/10.1145/3580305.3599411","title":"Learning to Relate to Previous Turns in Conversational Search","display_name":"Learning to Relate to Previous Turns in Conversational Search","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567884","doi":"https://doi.org/10.1145/3580305.3599411"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599411","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1145/3580305.3599411","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048033573","display_name":"Fengran Mo","orcid":"https://orcid.org/0000-0002-0838-6994"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"funder","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fengran Mo","raw_affiliation_strings":["University of Montreal, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"University of Montreal, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018977183","display_name":"Jian\u2010Yun Nie","orcid":"https://orcid.org/0000-0003-1556-3335"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"funder","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian-Yun Nie","raw_affiliation_strings":["University of Montreal, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"University of Montreal, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031577422","display_name":"Kaiyu Huang","orcid":"https://orcid.org/0000-0001-6779-1810"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyu Huang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074229248","display_name":"Kelong Mao","orcid":"https://orcid.org/0000-0002-5648-568X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"funder","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kelong Mao","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007186741","display_name":"Yutao Zhu","orcid":"https://orcid.org/0000-0002-9432-3251"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"funder","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yutao Zhu","raw_affiliation_strings":["University of Montreal, Montreal, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"University of Montreal, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726757","display_name":"Peng Li","orcid":"https://orcid.org/0000-0003-1374-5979"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086000078","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-3087-242X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.803,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.787716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"1722","last_page":"1732"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9999,"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":0.9999,"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":0.9987,"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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9982,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396888},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6410619},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6213419},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.61724544},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6140794},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.60050344},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5806254},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.50294155},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4559177},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3867569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35701567},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599411","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.02553","pdf_url":"http://arxiv.org/pdf/2306.02553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599411","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.7,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1548930048","https://openalex.org/W1969949308","https://openalex.org/W1993378086","https://openalex.org/W2104049510","https://openalex.org/W2590822507","https://openalex.org/W2593831809","https://openalex.org/W2808636610","https://openalex.org/W2892181857","https://openalex.org/W2998702515","https://openalex.org/W3021397474","https://openalex.org/W3035169992","https://openalex.org/W3099700870","https://openalex.org/W3099944244","https://openalex.org/W3100907046","https://openalex.org/W3101247617","https://openalex.org/W3103251620","https://openalex.org/W3115037692","https://openalex.org/W3154898636","https://openalex.org/W3163109966","https://openalex.org/W3171244865","https://openalex.org/W3176764317","https://openalex.org/W3214455632","https://openalex.org/W4206104244","https://openalex.org/W4226034056","https://openalex.org/W4226059645","https://openalex.org/W4252076394","https://openalex.org/W4284685693","https://openalex.org/W4284707525","https://openalex.org/W4367047001"],"related_works":["https://openalex.org/W8514837","https://openalex.org/W5304494","https://openalex.org/W3197639690","https://openalex.org/W2572349046","https://openalex.org/W2160726690","https://openalex.org/W2124814993","https://openalex.org/W2113390685","https://openalex.org/W2096359267","https://openalex.org/W2026738364","https://openalex.org/W1981131819"],"abstract_inverted_index":{"Conversational":[0],"search":[1,9,149],"allows":[2],"a":[3,8,60,86,109,115],"user":[4],"to":[5,26,31,63,89,107,119,131],"interact":[6],"with":[7,36,77,161],"system":[10],"in":[11],"multiple":[12],"turns.":[13],"A":[14],"query":[15,35],"is":[16,30],"strongly":[17],"dependent":[18],"on":[19,95,98,146],"the":[20,33,42,52,72,78,99,122,125,133,137,141,152],"conversation":[21],"context.":[22],"An":[23],"effective":[24],"way":[25],"improve":[27],"retrieval":[28,100],"effectiveness":[29,153],"expand":[32],"current":[34,53,73],"historical":[37,66,92],"queries.":[38],"However,":[39],"not":[40],"all":[41],"previous":[43],"queries":[44,67,93],"are":[45,69,105],"related":[46],"to,":[47],"and":[48,124,140,154],"useful":[49,70,91],"for":[50,71],"expanding":[51],"query.":[54,74],"In":[55],"this":[56],"paper,":[57],"we":[58,84],"propose":[59,114],"new":[61],"method":[62,159],"select":[64],"relevant":[65],"that":[68],"To":[75],"cope":[76],"lack":[79],"of":[80,157],"labeled":[81],"training":[82],"data,":[83],"use":[85],"pseudo-labeling":[87],"approach":[88],"annotate":[90],"based":[94],"their":[96],"impact":[97],"results.":[101],"The":[102],"pseudo-labeled":[103],"data":[104],"used":[106],"train":[108,121],"selection":[110],"model.":[111],"We":[112],"further":[113],"multi-task":[116],"learning":[117],"framework":[118],"jointly":[120],"selector":[123],"retriever":[126],"during":[127],"fine-tuning,":[128],"allowing":[129],"us":[130],"mitigate":[132],"possible":[134],"inconsistency":[135],"between":[136],"pseudo":[138],"labels":[139],"changed":[142],"retriever.":[143],"Extensive":[144],"experiments":[145],"four":[147],"conversational":[148],"datasets":[150],"demonstrate":[151],"broad":[155],"applicability":[156],"our":[158],"compared":[160],"several":[162],"strong":[163],"baselines.":[164]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385567884","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-04-12T11:24:47.390152","created_date":"2023-08-05"}