{"id":"https://openalex.org/W2895953440","doi":"https://doi.org/10.1145/3269206.3271727","title":"Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem","display_name":"Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2895953440","doi":"https://doi.org/10.1145/3269206.3271727","mag":"2895953440"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3271727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","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/A5100455502","display_name":"Xiaoyu Liu","orcid":"https://orcid.org/0000-0002-3485-0885"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Liu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020841751","display_name":"Shunda Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunda Pan","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Gang Jiang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100455502"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.1402,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83975089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1163","last_page":"1172"},"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":0.9997000098228455,"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":0.9944999814033508,"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":0.9149720072746277},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6477155089378357},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5920261740684509},{"id":"https://openalex.org/keywords/natural-language-user-interface","display_name":"Natural language user interface","score":0.5883889198303223},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.554006040096283},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5421913266181946},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5325815677642822},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5152726173400879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49220791459083557},{"id":"https://openalex.org/keywords/data-control-language","display_name":"Data control language","score":0.47570639848709106},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.4681796133518219},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4636465311050415},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4433365762233734},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.43497219681739807},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42235666513442993},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.3768181800842285},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.34857887029647827},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.34530186653137207},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.19961589574813843},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0826345682144165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9149720072746277},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6477155089378357},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5920261740684509},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.5883889198303223},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.554006040096283},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5421913266181946},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5325815677642822},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5152726173400879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49220791459083557},{"id":"https://openalex.org/C32977378","wikidata":"https://www.wikidata.org/wiki/Q604737","display_name":"Data control language","level":5,"score":0.47570639848709106},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.4681796133518219},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4636465311050415},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4433365762233734},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.43497219681739807},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42235666513442993},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.3768181800842285},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.34857887029647827},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.34530186653137207},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.19961589574813843},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0826345682144165},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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:10.1145/3269206.3271727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1843891098","https://openalex.org/W1973430024","https://openalex.org/W1979459060","https://openalex.org/W2000246295","https://openalex.org/W2016589492","https://openalex.org/W2041666597","https://openalex.org/W2064675550","https://openalex.org/W2086751477","https://openalex.org/W2095705004","https://openalex.org/W2102113734","https://openalex.org/W2107334351","https://openalex.org/W2118206599","https://openalex.org/W2120641257","https://openalex.org/W2135096473","https://openalex.org/W2135843591","https://openalex.org/W2157331557","https://openalex.org/W2169498276","https://openalex.org/W2170741935","https://openalex.org/W2333611780","https://openalex.org/W2467173223","https://openalex.org/W2468414286","https://openalex.org/W2507756961","https://openalex.org/W2525332836","https://openalex.org/W2533180076","https://openalex.org/W2568082647","https://openalex.org/W2606974598","https://openalex.org/W2740107682","https://openalex.org/W2741585609","https://openalex.org/W2783493343","https://openalex.org/W2949335953","https://openalex.org/W2963091079","https://openalex.org/W2963929190","https://openalex.org/W2964308564","https://openalex.org/W4231856373"],"related_works":["https://openalex.org/W1620951616","https://openalex.org/W3036348878","https://openalex.org/W2970853428","https://openalex.org/W4242973525","https://openalex.org/W2013349486","https://openalex.org/W2184808612","https://openalex.org/W2041417371","https://openalex.org/W2036832324","https://openalex.org/W4226236879","https://openalex.org/W4388525956"],"abstract_inverted_index":{"In":[0,49],"recent":[1],"years,":[2],"the":[3,22,44,54,69,99,108,115,127,169],"task":[4,55],"of":[5,21],"reformulating":[6],"natural":[7,27,37,62,150],"language":[8,28,38,63,71,151],"queries":[9,29,39,64,72],"has":[10],"received":[11],"considerable":[12],"attention":[13,123],"from":[14,107],"both":[15],"industry":[16],"and":[17,30,77,87,130,136],"academic":[18],"communities.":[19],"Because":[20],"lexical":[23],"chasm":[24],"problem":[25,59],"between":[26],"web":[31],"documents,":[32],"if":[33],"we":[34,52,138],"directly":[35,106],"use":[36],"as":[40,56],"inputs":[41],"for":[42],"retrieval,":[43],"results":[45,156],"are":[46,75],"usually":[47],"unsatisfactory.":[48],"this":[50,158],"work,":[51],"formulated":[53],"a":[57,92,141,146],"translation":[58],"to":[60,144],"convert":[61],"into":[65],"keyword":[66],"queries.":[67],"Since":[68],"nature":[70],"users":[73],"input":[74],"diverse":[76],"multi-faceted,":[78],"general":[79],"encoder-decoder":[80,94],"models":[81],"cannot":[82],"effectively":[83],"handle":[84],"low-frequency":[85],"words":[86],"out-of-vocabulary":[88],"words.":[89],"We":[90],"propose":[91],"novel":[93],"method":[95,143],"with":[96],"two":[97,122],"decoders:":[98],"pointer":[100],"decoder":[101,117],"firstly":[102],"extracts":[103],"query":[104,119,132,153],"terms":[105,120],"source":[109,128],"text":[110,129],"via":[111],"copying":[112],"mechanism,":[113],"then":[114],"generator":[116],"generates":[118],"using":[121],"modules":[124],"simultaneously":[125],"considering":[126],"extracted":[131],"terms.":[133],"For":[134],"evaluation":[135],"training,":[137],"also":[139],"proposed":[140],"semi-automatic":[142],"construct":[145],"large-scale":[147],"dataset":[148,159],"about":[149],"query-keyword":[152],"pairs.":[154],"Experimental":[155],"on":[157],"demonstrated":[160],"that":[161],"our":[162],"model":[163],"could":[164],"achieve":[165],"better":[166],"performance":[167],"than":[168],"previous":[170],"state-of-the-art":[171],"methods.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
