{"id":"https://openalex.org/W4213032304","doi":"https://doi.org/10.1145/3488560.3498430","title":"A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction","display_name":"A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213032304","doi":"https://doi.org/10.1145/3488560.3498430"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498430","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/A5100746591","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-6471-231X"},"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":"Chao Wang","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/A5100746224","display_name":"Jingping Liu","orcid":"https://orcid.org/0000-0002-8671-2302"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]},{"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":"Jingping Liu","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085025479","display_name":"Tianyi Zhuang","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":"Tianyi Zhuang","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/A5085958401","display_name":"Jiahang Li","orcid":"https://orcid.org/0000-0002-1315-5429"},"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":"Jiahang Li","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/A5100621522","display_name":"Juntao Liu","orcid":"https://orcid.org/0000-0001-6697-0841"},"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"]},{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juntao Liu","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090455375","display_name":"Yanghua Xiao","orcid":"https://orcid.org/0000-0001-8403-9591"},"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":"Yanghua Xiao","raw_affiliation_strings":["Fudan University & Fudan-Aishu Cognitive Intelligence Joint Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University & Fudan-Aishu Cognitive Intelligence Joint Research Center, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391853","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-0666-3273"},"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":"Wei Wang","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/A5101796552","display_name":"Rui Xie","orcid":"https://orcid.org/0000-0002-1116-7418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Xie","raw_affiliation_strings":["Meituan, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100746591"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.3116,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46956475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1063","last_page":"1071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9975000023841858,"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/T10028","display_name":"Topic Modeling","score":0.9890000224113464,"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":0.8635655641555786},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6843911409378052},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.6765921115875244},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6247484087944031},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6041808724403381},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5556443333625793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.553865373134613},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5162158608436584},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4873221814632416},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.462965726852417},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44890540838241577},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36984968185424805},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.36575907468795776},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10410058498382568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8635655641555786},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6843911409378052},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.6765921115875244},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6247484087944031},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6041808724403381},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5556443333625793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.553865373134613},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5162158608436584},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4873221814632416},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.462965726852417},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44890540838241577},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36984968185424805},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.36575907468795776},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10410058498382568},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498430","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":[{"display_name":"Quality Education","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W81685408","https://openalex.org/W2036421848","https://openalex.org/W2050255038","https://openalex.org/W2096557605","https://openalex.org/W2100233978","https://openalex.org/W2132559980","https://openalex.org/W2143612262","https://openalex.org/W2567655758","https://openalex.org/W2620787630","https://openalex.org/W2750499125","https://openalex.org/W2771873754","https://openalex.org/W2896675016","https://openalex.org/W2905233862","https://openalex.org/W2950601686","https://openalex.org/W2964167369","https://openalex.org/W3046641545","https://openalex.org/W3093256590","https://openalex.org/W3170858065","https://openalex.org/W4234519297"],"related_works":["https://openalex.org/W1503216044","https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W2366269494","https://openalex.org/W2353650902","https://openalex.org/W2347884623","https://openalex.org/W2385598138"],"abstract_inverted_index":{"Abbreviations":[0],"often":[1],"used":[2,212],"in":[3,11,38,169,213,229],"our":[4,87,106,149,220],"daily":[5],"communication":[6],"play":[7],"an":[8],"important":[9],"role":[10],"natural":[12],"language":[13],"processing.":[14],"Most":[15],"of":[16,41,48,86,122,175,182],"the":[17,21,39,45,65,84,137,141,152,208,214],"existing":[18],"studies":[19],"regard":[20],"Chinese":[22,66,112],"abbreviation":[23,42,67,113],"prediction":[24,47,68,114],"as":[25,70],"a":[26,71,76,93,108,133,159,163],"sequence":[27,31,72],"labeling":[28,32],"problem.":[29],"However,":[30],"models":[33],"usually":[34],"ignore":[35],"label":[36,46],"dependencies":[37],"process":[40],"prediction,":[43],"and":[44,75,101,125,136,140,185,194,204],"each":[49],"character":[50],"should":[51],"be":[52],"conditioned":[53],"on":[54,132,144,191,222],"its":[55],"previous":[56],"labels.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,90,128,157],"propose":[62,92],"to":[63],"formalize":[64],"task":[69],"generation":[73],"problem,":[74],"novel":[77],"sequence-to-sequence":[78],"model":[79,96,150],"is":[80,115,211],"designed.":[81],"To":[82,104],"boost":[83],"performance":[85],"deep":[88],"model,":[89],"further":[91],"multi-level":[94],"pre-trained":[95],"that":[97,148,198],"incorporates":[98],"character,":[99],"word,":[100],"concept-level":[102],"embeddings.":[103],"evaluate":[105],"methods,":[107],"new":[109],"dataset":[110,135],"for":[111,162],"automatically":[116],"built,":[117],"which":[118,178],"contains":[119,179],"81,351":[120],"pairs":[121,181],"full":[123,183],"forms":[124,184],"abbreviations.":[126,186],"Finally,":[127],"conduct":[129],"extensive":[130],"experiments":[131],"public":[134],"built":[138,209],"dataset,":[139],"experimental":[142],"results":[143],"both":[145],"datasets":[146],"show":[147],"outperforms":[151],"state-of-the-art":[153],"methods.":[154],"More":[155],"importantly,":[156],"build":[158],"large-scale":[160],"database":[161,210],"specific":[164],"domain,":[165],"i.e.,":[166],"life":[167],"services":[168],"Meituan":[170,192],"Inc.,":[171],"with":[172,224],"high":[173],"accuracy":[174],"about":[176],"82.7%,":[177],"4,134,142":[180],"The":[187],"online":[188],"A/B":[189],"testing":[190],"APP":[193,196],"Dianping":[195],"suggests":[197],"Click-Through":[199],"Rate":[200],"increases":[201],"by":[202],"0.59%":[203],"0.86%":[205],"respectively":[206],"when":[207],"searching":[215],"system.":[216],"We":[217],"have":[218],"released":[219],"API":[221,227],"http://kw.fudan.edu.cn/ddemos/abbr/":[223],"over":[225],"87k":[226],"calls":[228],"9":[230],"months.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}