{"id":"https://openalex.org/W4375868897","doi":"https://doi.org/10.1109/icassp49357.2023.10097099","title":"Clicker: Attention-Based Cross-Lingual Commonsense Knowledge Transfer","display_name":"Clicker: Attention-Based Cross-Lingual Commonsense Knowledge Transfer","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375868897","doi":"https://doi.org/10.1109/icassp49357.2023.10097099"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097099","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5019393391","display_name":"Ruolin Su","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruolin Su","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,USA","Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103256809","display_name":"Zhongkai Sun","orcid":"https://orcid.org/0000-0003-1358-8897"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongkai Sun","raw_affiliation_strings":["Amazon Alexa AI,Seattle,WA,USA","Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI,Seattle,WA,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070687408","display_name":"Sixing Lu","orcid":"https://orcid.org/0000-0002-6514-4844"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sixing Lu","raw_affiliation_strings":["Amazon Alexa AI,Seattle,WA,USA","Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI,Seattle,WA,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100308850","display_name":"Chengyuan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengyuan Ma","raw_affiliation_strings":["Amazon Alexa AI,Seattle,WA,USA","Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI,Seattle,WA,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047766916","display_name":"Chenlei Guo","orcid":"https://orcid.org/0009-0006-0502-947X"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenlei Guo","raw_affiliation_strings":["Amazon Alexa AI,Seattle,WA,USA","Amazon Alexa AI, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI,Seattle,WA,USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon Alexa AI, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019393391"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04143101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9934999942779541,"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":0.9909999966621399,"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/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.8231213092803955},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.8166826963424683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7405090928077698},{"id":"https://openalex.org/keywords/clicker","display_name":"Clicker","score":0.6616474986076355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528629422187805},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4589330852031708},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41924503445625305},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.2007436752319336},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05281186103820801}],"concepts":[{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.8231213092803955},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.8166826963424683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405090928077698},{"id":"https://openalex.org/C2778208468","wikidata":"https://www.wikidata.org/wiki/Q835684","display_name":"Clicker","level":2,"score":0.6616474986076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528629422187805},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4589330852031708},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41924503445625305},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2007436752319336},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05281186103820801},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097099","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2073302931","https://openalex.org/W2788853775","https://openalex.org/W2891555348","https://openalex.org/W2896457183","https://openalex.org/W2898695519","https://openalex.org/W2914120296","https://openalex.org/W3013840636","https://openalex.org/W3035390927","https://openalex.org/W3099771192","https://openalex.org/W3171975879","https://openalex.org/W3174234060","https://openalex.org/W4288401178","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6755829550","https://openalex.org/W6759455113","https://openalex.org/W6769263558","https://openalex.org/W6771194294","https://openalex.org/W6774623936","https://openalex.org/W6776862464"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W4385488510","https://openalex.org/W2196562041","https://openalex.org/W2073302931","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W4375868897","https://openalex.org/W4322716714"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,33,66,96],"cross-lingual":[3,98],"commonsense":[4,24,30,67,73,83],"reasoning":[5,74],"(CSR)":[6],"are":[7],"facilitated":[8],"by":[9,78],"the":[10,20,48,58,97],"development":[11],"of":[12],"multilingual":[13],"pre-trained":[14],"models":[15],"(mPTMs).":[16],"While":[17],"mPTMs":[18],"show":[19],"potential":[21],"to":[22,37],"encode":[23],"knowledge":[25,31,81],"for":[26,75,101],"different":[27],"languages,":[28],"transferring":[29],"learned":[32],"large-scale":[34],"English":[35,62],"corpus":[36],"other":[38,103],"languages":[39,65,77,102],"is":[40],"challenging.":[41],"To":[42],"address":[43],"this":[44],"problem,":[45],"we":[46],"propose":[47],"attention-based":[49],"Cross-LIngual":[50],"Commonsense":[51],"Knowledge":[52],"transfER":[53],"(CLICKER)":[54],"framework,":[55],"which":[56],"minimizes":[57],"performance":[59],"gaps":[60],"between":[61],"and":[63],"non-English":[64,76],"question-answering":[68],"tasks.":[69],"CLICKER":[70,92],"effectively":[71],"improves":[72],"differentiating":[79],"non-commonsense":[80],"from":[82],"knowledge.":[84],"Experimental":[85],"results":[86],"on":[87],"public":[88],"benchmarks":[89],"demonstrate":[90],"that":[91],"achieves":[93],"remarkable":[94],"improvements":[95],"CSR":[99],"task":[100],"than":[104],"English.":[105]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}