{"id":"https://openalex.org/W3022988571","doi":"https://doi.org/10.1145/3366424.3382671","title":"A Two-stage Conversational Query Rewriting Model with Multi-task Learning","display_name":"A Two-stage Conversational Query Rewriting Model with Multi-task Learning","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3022988571","doi":"https://doi.org/10.1145/3366424.3382671","mag":"3022988571"},"language":"en","primary_location":{"id":"doi:10.1145/3366424.3382671","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366424.3382671","pdf_url":null,"source":{"id":"https://openalex.org/S4306506651","display_name":"Companion Proceedings of the Web Conference 2020","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3366424.3382671","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087486098","display_name":"Shuangyong Song","orcid":"https://orcid.org/0000-0001-7465-1082"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuangyong Song","raw_affiliation_strings":["Alibaba Group, Hangzhou 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou 311121, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407035","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-7427-793X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou 311121, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101868563","display_name":"Qianqian Xie","orcid":"https://orcid.org/0000-0002-9588-7454"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Xie","raw_affiliation_strings":["Alibaba Group, Hangzhou 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou 311121, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028097242","display_name":"Xinxing Zu","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxing Zu","raw_affiliation_strings":["Alibaba Group, Hangzhou 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou 311121, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444126","display_name":"Huan Chen","orcid":"https://orcid.org/0000-0003-2240-7381"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou 311121, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018390407","display_name":"Haiqing Chen","orcid":"https://orcid.org/0000-0002-8245-6145"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqing Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou 311121, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087486098"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":0.893,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77927694,"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":"6","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9993000030517578,"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":0.9990000128746033,"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":0.880138635635376},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.846960186958313},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6806560158729553},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5479838252067566},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5125510692596436},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5112307071685791},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4831218421459198},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.47832417488098145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716958999633789},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4628180265426636},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13445428013801575},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1309448480606079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.880138635635376},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.846960186958313},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6806560158729553},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5479838252067566},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5125510692596436},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5112307071685791},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4831218421459198},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.47832417488098145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716958999633789},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4628180265426636},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13445428013801575},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1309448480606079},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366424.3382671","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366424.3382671","pdf_url":null,"source":{"id":"https://openalex.org/S4306506651","display_name":"Companion Proceedings of the Web Conference 2020","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366424.3382671","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366424.3382671","pdf_url":null,"source":{"id":"https://openalex.org/S4306506651","display_name":"Companion Proceedings of the Web Conference 2020","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2788517680","https://openalex.org/W2921671634","https://openalex.org/W2952855649"],"related_works":["https://openalex.org/W1968552888","https://openalex.org/W2120204135","https://openalex.org/W2139396251","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2772323916","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2378167147","https://openalex.org/W3210777354"],"abstract_inverted_index":{"Conversational":[0],"context":[1],"understanding":[2,27],"aims":[3],"to":[4],"recognize":[5],"the":[6,12,20,24,37,40,45,60,66,77,85,88,93,97,111,147,150,156],"real":[7],"intention":[8,79],"of":[9,52,80,87,149],"user":[10],"from":[11],"conversation":[13,26],"history,":[14],"which":[15,35,75],"is":[16,31],"critical":[17],"for":[18],"building":[19],"dialogue":[21,90],"system.":[22],"However,":[23],"multi-turn":[25,67,89],"in":[28,47,154],"open":[29,53],"domain":[30],"still":[32],"quite":[33],"challenging,":[34],"requires":[36],"system":[38],"extracting":[39],"important":[41],"information":[42,109,153],"and":[43,83,105,130,145],"resolving":[44],"dependencies":[46],"contexts":[48],"among":[49],"a":[50,71,101,124],"variety":[51],"topics.":[54],"In":[55,92],"this":[56],"paper,":[57],"we":[58,95,122],"propose":[59],"conversational":[61,68],"query":[62,98,127],"rewriting":[63,99,128,157],"model,":[64,94,121],"reformulating":[65],"queries":[69],"into":[70],"single":[72],"turn":[73],"query,":[74],"conveys":[76],"true":[78],"users":[81],"concisely":[82],"alleviates":[84],"difficulty":[86],"modeling.":[91],"formulate":[96],"as":[100],"sequence":[102],"generation":[103],"problem":[104],"introduce":[106],"word":[107,113,151],"category":[108,114,152],"via":[110],"auxiliary":[112],"label":[115],"predicting":[116],"task.":[117],"To":[118],"train":[119],"our":[120,140],"construct":[123],"new":[125],"Chinese":[126],"dataset":[129],"conduct":[131],"experiments":[132],"on":[133],"it.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"that":[139],"model":[141],"outperforms":[142],"compared":[143],"models,":[144],"prove":[146],"effectiveness":[148],"improving":[155],"performance.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2025-10-10T00:00:00"}