{"id":"https://openalex.org/W4213245517","doi":"https://doi.org/10.1145/3488560.3498516","title":"A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation","display_name":"A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213245517","doi":"https://doi.org/10.1145/3488560.3498516"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498516","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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/A5101511516","display_name":"Xiangsheng Li","orcid":"https://orcid.org/0009-0001-1683-7054"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangsheng Li","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/A5072119199","display_name":"Jiaxin Mao","orcid":"https://orcid.org/0000-0002-9257-5498"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin 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/A5101524043","display_name":"Weizhi Ma","orcid":"https://orcid.org/0000-0001-5604-7527"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Ma","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/A5002597610","display_name":"Zhijing Wu","orcid":"https://orcid.org/0000-0003-2473-3746"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Wu","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/A5100668121","display_name":"Yiqun Liu","orcid":"https://orcid.org/0000-0002-0140-4512"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Liu","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/A5100402925","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6059-3798"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","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/A5100760812","display_name":"Shaoping Ma","orcid":"https://orcid.org/0000-0002-8762-8268"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Ma","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/A5100655132","display_name":"Zhaowei Wang","orcid":"https://orcid.org/0000-0002-7797-3316"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaowei Wang","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083350101","display_name":"Xiuqiang He","orcid":"https://orcid.org/0000-0002-4115-8205"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqiang He","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101511516"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.1434,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79228615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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":0.8740293979644775},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7613704204559326},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.741759181022644},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6915433406829834},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5872074961662292},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5759087800979614},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5168936252593994},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.49785518646240234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365169405937195},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4202556908130646},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.41747602820396423},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39611494541168213},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3837757110595703},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.29932016134262085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8740293979644775},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7613704204559326},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.741759181022644},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6915433406829834},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5872074961662292},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5759087800979614},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5168936252593994},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.49785518646240234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365169405937195},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4202556908130646},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.41747602820396423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39611494541168213},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3837757110595703},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.29932016134262085},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498516","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1972594981","https://openalex.org/W2081580037","https://openalex.org/W2104049510","https://openalex.org/W2117473841","https://openalex.org/W2127840217","https://openalex.org/W2136189984","https://openalex.org/W2533180076","https://openalex.org/W2539104130","https://openalex.org/W2604950042","https://openalex.org/W2648699835","https://openalex.org/W2798598599","https://openalex.org/W2799037506","https://openalex.org/W2896363972","https://openalex.org/W2914263187","https://openalex.org/W2945127593","https://openalex.org/W2962756421","https://openalex.org/W2963578677","https://openalex.org/W2986273318","https://openalex.org/W3004203025","https://openalex.org/W3027639267","https://openalex.org/W3036320503","https://openalex.org/W3098417575","https://openalex.org/W3098468692","https://openalex.org/W3099446234","https://openalex.org/W3100907046","https://openalex.org/W3102654612","https://openalex.org/W4251326898","https://openalex.org/W4302322961"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2901901036","https://openalex.org/W2026738364","https://openalex.org/W1793997780","https://openalex.org/W2013069866","https://openalex.org/W3125756434","https://openalex.org/W2538384344","https://openalex.org/W2572349046","https://openalex.org/W2146885082","https://openalex.org/W2392799717"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,91],"neural":[4,16,40,63,98,105,130],"information":[5,77],"retrieval":[6,17,41,64,99,106,125,131],"pipeline":[7,20,121],"that":[8,119],"integrates":[9],"cooperative":[10],"learning":[11],"of":[12,48,70,95,127],"query":[13,25,31,37,60,80,140],"reformulation":[14],"and":[15,32,51,62,88,109],"models.":[18],"Our":[19],"first":[21],"exploits":[22],"an":[23,55],"automatic":[24,79,139],"reformulator":[26,61],"to":[27,38,90],"reformulate":[28],"the":[29,35,39,46,68,96,124,128],"user-issued":[30],"then":[33],"submits":[34],"reformulated":[36,49,83],"model.":[42,100],"We":[43,101],"simultaneously":[44],"optimize":[45],"quality":[47],"queries":[50,84],"ranking":[52,93],"performance":[53,94,126],"with":[54],"alternate":[56],"training":[57],"strategy":[58],"where":[59],"model":[65],"learn":[66],"from":[67],"feedback":[69],"each":[71],"other.":[72],"Besides,":[73],"we":[74],"incorporate":[75],"knowledge":[76],"into":[78],"reformulation.":[81,141],"The":[82],"are":[85],"further":[86],"improved":[87],"contribute":[89],"better":[92],"following":[97],"study":[102],"two":[103,116],"representative":[104],"models":[107,132],"KNRM":[108],"BERT":[110],"in":[111],"our":[112,120],"pipeline.":[113],"Experiments":[114],"on":[115,138],"datasets":[117],"show":[118],"consistently":[122],"improves":[123],"original":[129],"while":[133],"only":[134],"increases":[135],"negligible":[136],"time":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}