{"id":"https://openalex.org/W4224917058","doi":"https://doi.org/10.1109/icassp43922.2022.9746890","title":"Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling","display_name":"Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224917058","doi":"https://doi.org/10.1109/icassp43922.2022.9746890"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746890","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5086946674","display_name":"Xinchun Li","orcid":"https://orcid.org/0000-0001-9417-7971"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Chun Li","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology","State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009863164","display_name":"Yan-Jia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Jia Wang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology","State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046938347","display_name":"Le Gan","orcid":"https://orcid.org/0000-0002-8260-6932"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Gan","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology","State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073912249","display_name":"De\u2010Chuan Zhan","orcid":"https://orcid.org/0000-0002-3533-2078"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Chuan Zhan","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology","State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.2077,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.37884972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1805 10190","issue":null,"first_page":"3758","last_page":"3762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9968000054359436,"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":0.9930999875068665,"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":0.834357738494873},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5987491607666016},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5680664777755737},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5553295016288757},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4998009204864502},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4954782724380493},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4802163541316986},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4762858748435974},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.4481734335422516},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43751955032348633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39150795340538025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25671225786209106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23348340392112732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12023922801017761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08596426248550415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.834357738494873},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5987491607666016},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5680664777755737},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5553295016288757},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4998009204864502},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4954782724380493},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4802163541316986},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4762858748435974},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.4481734335422516},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43751955032348633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39150795340538025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25671225786209106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23348340392112732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12023922801017761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08596426248550415},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"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:10.1109/icassp43922.2022.9746890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746890","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W658020064","https://openalex.org/W2076440176","https://openalex.org/W2125865219","https://openalex.org/W2412094331","https://openalex.org/W2493916176","https://openalex.org/W2556468274","https://openalex.org/W2575101493","https://openalex.org/W2917128112","https://openalex.org/W2951088751","https://openalex.org/W2963033987","https://openalex.org/W2963578915","https://openalex.org/W2964185501","https://openalex.org/W2981848390","https://openalex.org/W2997771882","https://openalex.org/W3021271121","https://openalex.org/W3034238471","https://openalex.org/W3045703328","https://openalex.org/W3103838460","https://openalex.org/W3117925982","https://openalex.org/W3155000020","https://openalex.org/W3162130615","https://openalex.org/W3174090834","https://openalex.org/W4297683418","https://openalex.org/W6621906925","https://openalex.org/W6678814708","https://openalex.org/W6732187701","https://openalex.org/W6751425476","https://openalex.org/W6759393636","https://openalex.org/W6777119090"],"related_works":["https://openalex.org/W4399895933","https://openalex.org/W2161221533","https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W4229699405","https://openalex.org/W1666484574","https://openalex.org/W1999617572","https://openalex.org/W2216382288"],"abstract_inverted_index":{"As":[0],"an":[1,20,83],"essential":[2],"task":[3],"for":[4],"natural":[5],"language":[6],"understanding,":[7],"slot":[8,46,70,78,142],"filling":[9,47,71],"aims":[10],"to":[11,40,55,66,100,160],"identify":[12],"the":[13,25,76,116,137],"contiguous":[14],"spans":[15],"of":[16,28],"specific":[17],"slots":[18,114],"in":[19,140],"utterance.":[21],"In":[22],"real-world":[23],"applications,":[24],"labeling":[26],"costs":[27],"utterances":[29],"may":[30],"be":[31],"expensive,":[32],"and":[33,73,85,97,158],"transfer":[34,53,129,139],"learning":[35],"techniques":[36],"have":[37],"been":[38],"developed":[39],"ease":[41],"this":[42,61,89,133],"problem.":[43],"However,":[44],"cross-domain":[45,141],"could":[48,80,152],"significantly":[49],"suffer":[50],"from":[51],"negative":[52,138],"due":[54],"non-targeted":[56],"or":[57],"zero-shot":[58],"slots.":[59],"Originally,":[60],"paper":[62],"explores":[63],"several":[64],"ways":[65],"measure":[67,92],"transferability":[68],"across":[69],"domains":[72,109,163],"finds":[74],"that":[75,110,150],"shared":[77,113],"number":[79],"serve":[81],"as":[82],"efficient":[84,99],"effective":[86],"estimator.":[87],"First,":[88],"frustratingly":[90],"easy":[91],"requires":[93],"no":[94],"training":[95],"data":[96],"is":[98],"calculate.":[101],"Second,":[102],"it":[103],"guides":[104],"us":[105],"heuristically":[106],"select":[107],"source":[108,156,162],"contain":[111],"more":[112],"with":[115],"target":[117],"domain,":[118],"which":[119],"obtains":[120],"SOTA":[121],"results":[122],"on":[123,132,165],"Snips":[124],"benchmark.":[125],"Third,":[126],"a":[127,147],"dynamic":[128],"procedure":[130],"based":[131,164],"estimator":[134],"clearly":[135],"shows":[136],"filling.":[143],"We":[144],"finally":[145],"explore":[146],"source-free":[148],"scene":[149],"we":[151],"only":[153],"obtain":[154],"black-box":[155],"models":[157],"propose":[159],"weight":[161],"prediction":[166],"entropy.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}