{"id":"https://openalex.org/W4386503675","doi":"https://doi.org/10.1145/3587716.3587787","title":"Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification","display_name":"Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4386503675","doi":"https://doi.org/10.1145/3587716.3587787"},"language":"en","primary_location":{"id":"doi:10.1145/3587716.3587787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587716.3587787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","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/A5102936754","display_name":"Jing Qian","orcid":"https://orcid.org/0009-0004-9900-7073"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Qian","raw_affiliation_strings":["School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China"],"raw_orcid":"https://orcid.org/0009-0004-9900-7073","affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340184","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0002-7430-1645"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University, China"],"raw_orcid":"https://orcid.org/0000-0002-7430-1645","affiliations":[{"raw_affiliation_string":"School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090256693","display_name":"Yong Yue","orcid":"https://orcid.org/0000-0001-7695-4538"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yue","raw_affiliation_strings":["School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China"],"raw_orcid":"https://orcid.org/0000-0001-7695-4538","affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034799166","display_name":"Katie Atkinson","orcid":"https://orcid.org/0000-0002-5683-4106"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Katie Atkinson","raw_affiliation_strings":["Department of Computer Science, University of Liverpool, UK"],"raw_orcid":"https://orcid.org/0000-0002-5683-4106","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Liverpool, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021304275","display_name":"Gangmin Li","orcid":"https://orcid.org/0000-0003-4006-7472"},"institutions":[{"id":"https://openalex.org/I147554453","display_name":"University of Bedfordshire","ror":"https://ror.org/0400avk24","country_code":"GB","type":"education","lineage":["https://openalex.org/I147554453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gangmin Li","raw_affiliation_strings":["School of Computer Science &amp; Technology, University of Bedfordshire, UK"],"raw_orcid":"https://orcid.org/0000-0003-4006-7472","affiliations":[{"raw_affiliation_string":"School of Computer Science &amp; Technology, University of Bedfordshire, UK","institution_ids":["https://openalex.org/I147554453"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102936754"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11124159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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":0.9983000159263611,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9519000053405762,"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":0.7383718490600586},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7106369137763977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833235025405884},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5354571342468262},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.5351423025131226},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5160536170005798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5072950720787048},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.49968552589416504},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34336644411087036},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.18491852283477783},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07389196753501892},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06361812353134155},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06303223967552185}],"concepts":[{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.7383718490600586},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7106369137763977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833235025405884},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5354571342468262},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.5351423025131226},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5160536170005798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5072950720787048},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.49968552589416504},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34336644411087036},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.18491852283477783},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07389196753501892},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06361812353134155},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06303223967552185},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587716.3587787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587716.3587787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1503259811","https://openalex.org/W1615991656","https://openalex.org/W2250539671","https://openalex.org/W2318346714","https://openalex.org/W2524643686","https://openalex.org/W2561529111","https://openalex.org/W2595551253","https://openalex.org/W2891231443","https://openalex.org/W2910342528","https://openalex.org/W2963804400","https://openalex.org/W3011574394","https://openalex.org/W3014521650","https://openalex.org/W3088409176","https://openalex.org/W3096580779","https://openalex.org/W3153427360","https://openalex.org/W3173348482","https://openalex.org/W3174784402","https://openalex.org/W3175294292","https://openalex.org/W3187134297","https://openalex.org/W3188542058","https://openalex.org/W3198571508","https://openalex.org/W3210129272","https://openalex.org/W4226252996","https://openalex.org/W4238846128","https://openalex.org/W4239019441","https://openalex.org/W4312736038","https://openalex.org/W6602670149"],"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/W4378501473","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W4287633646"],"abstract_inverted_index":{"The":[0,17],"combination":[1],"of":[2,19,29,57,114],"pre-training":[3],"and":[4],"fine-tuning":[5],"has":[6],"become":[7],"a":[8,74,119],"default":[9],"solution":[10],"to":[11,83],"Natural":[12],"Language":[13,48],"Processing":[14],"(NLP)":[15],"tasks.":[16],"emergence":[18],"prompt":[20],"learning":[21],"breaks":[22],"such":[23],"routine,":[24],"especially":[25],"in":[26,43,99],"the":[27,58,93,100,112],"scenarios":[28],"low":[30],"data":[31,35],"resources.":[32],"Insufficient":[33],"labelled":[34],"or":[36],"even":[37],"unseen":[38],"classes":[39],"are":[40,63],"frequent":[41],"problems":[42],"text":[44,106],"classification,":[45],"equipping":[46],"Pre-trained":[47],"Models":[49],"(PLMs)":[50],"with":[51,66,87,128],"task-specific":[52],"prompts":[53],"helps":[54],"get":[55],"rid":[56],"dilemma.":[59],"However,":[60],"general":[61],"PLMs":[62],"barely":[64],"provided":[65],"commonsense":[67,79],"knowledge.":[68],"In":[69],"this":[70],"work,":[71],"we":[72,91],"propose":[73],"KG-driven":[75,116],"verbalizer":[76,117],"that":[77],"leverages":[78],"Knowledge":[80],"Graph":[81],"(KG)":[82],"map":[84],"label":[85],"words":[86],"predefined":[88],"classes.":[89],"Specifically,":[90],"transform":[92],"mapping":[94],"relationships":[95],"into":[96],"semantic":[97],"relevance":[98],"commonsense-injected":[101],"embedding":[102],"space.":[103],"For":[104],"zero-shot":[105],"classification":[107],"task,":[108],"experimental":[109],"results":[110],"exhibit":[111],"effectiveness":[113],"our":[115],"on":[118],"Twitter":[120],"dataset":[121],"for":[122],"natural":[123],"disasters":[124],"(i.e.":[125],"HumAID)":[126],"compared":[127],"other":[129],"baselines.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
