{"id":"https://openalex.org/W4378830714","doi":"https://doi.org/10.1145/3603168","title":"Prompt-based for Low-Resource Tibetan Text Classification","display_name":"Prompt-based for Low-Resource Tibetan Text Classification","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4378830714","doi":"https://doi.org/10.1145/3603168"},"language":"en","primary_location":{"id":"doi:10.1145/3603168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603168","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5101518692","display_name":"Bo An","orcid":"https://orcid.org/0000-0003-0805-4268"},"institutions":[{"id":"https://openalex.org/I114218197","display_name":"Chinese Academy of Social Sciences","ror":"https://ror.org/05bxbmy32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197"]},{"id":"https://openalex.org/I4210115499","display_name":"Institute of Ethnology and Anthropology","ror":"https://ror.org/01sengv47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197","https://openalex.org/I4210115499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo An","raw_affiliation_strings":["Institute of Ethnology and Anthropology, Chinese Academy of Social Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-0805-4268","affiliations":[{"raw_affiliation_string":"Institute of Ethnology and Anthropology, Chinese Academy of Social Sciences, China","institution_ids":["https://openalex.org/I114218197","https://openalex.org/I4210115499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101518692"],"corresponding_institution_ids":["https://openalex.org/I114218197","https://openalex.org/I4210115499"],"apc_list":null,"apc_paid":null,"fwci":1.4911,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85527965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"8","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9988999962806702,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9955000281333923,"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":0.7837920188903809},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6927838325500488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772153735160828},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5629969239234924},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5130528211593628},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4733966588973999},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4418134093284607},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4266703426837921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837920188903809},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6927838325500488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772153735160828},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5629969239234924},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5130528211593628},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4733966588973999},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4418134093284607},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4266703426837921},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603168","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2997927595","display_name":null,"funder_award_id":"62076233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3539804857","display_name":null,"funder_award_id":"22BTQ010","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1982297572","https://openalex.org/W2064675550","https://openalex.org/W2131176049","https://openalex.org/W2376053756","https://openalex.org/W2522998226","https://openalex.org/W2542591955","https://openalex.org/W2740721704","https://openalex.org/W2763150156","https://openalex.org/W2889702481","https://openalex.org/W2893676516","https://openalex.org/W2913389484","https://openalex.org/W2952370363","https://openalex.org/W2962946486","https://openalex.org/W2963864710","https://openalex.org/W2964101952","https://openalex.org/W2989065690","https://openalex.org/W3007955273","https://openalex.org/W3011574394","https://openalex.org/W3012322145","https://openalex.org/W3034775979","https://openalex.org/W3034942609","https://openalex.org/W3088409176","https://openalex.org/W3093517588","https://openalex.org/W3093968732","https://openalex.org/W3133696297","https://openalex.org/W3146366485","https://openalex.org/W3155346814","https://openalex.org/W3156333129","https://openalex.org/W3169483174","https://openalex.org/W3185341429","https://openalex.org/W3198571508","https://openalex.org/W4200182268","https://openalex.org/W4221166835","https://openalex.org/W4239025696","https://openalex.org/W4255467651","https://openalex.org/W4287829760","https://openalex.org/W4297801177","https://openalex.org/W4365799947","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6748304040","https://openalex.org/W6779431784","https://openalex.org/W6790690058","https://openalex.org/W6800819532"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W2329000834","https://openalex.org/W2165504147"],"abstract_inverted_index":{"Text":[0],"classification":[1,55,98],"is":[2],"a":[3,15,36,47,74,105],"critical":[4],"and":[5,25,70,109],"foundational":[6],"task":[7],"in":[8,18,99],"Tibetan":[9,40,53,77,81,96,117],"natural":[10,41,118],"language":[11,42,64,113,119,129],"processing,":[12,114],"it":[13,122],"plays":[14],"crucial":[16],"role":[17],"various":[19],"applications,":[20],"such":[21,115],"as":[22,116],"sentiment":[23],"analysis":[24],"information":[26],"extraction.":[27],"However,":[28],"the":[29,88,93],"limited":[30],"availability":[31],"of":[32,95],"annotated":[33],"data":[34],"poses":[35],"significant":[37],"challenge":[38],"to":[39,56,66],"processing.":[43,120,130],"This":[44,60,102],"paper":[45],"proposes":[46],"prompt":[48],"learning-based":[49],"method":[50,61,90,110],"for":[51,111],"low-resource":[52,100,112,128],"text":[54,68,82,97],"overcome":[57],"this":[58],"challenge.":[59],"utilizes":[62],"pre-trained":[63],"models":[65],"learn":[67],"representation":[69],"generation":[71],"capabilities":[72],"on":[73,127],"large-scale":[75],"unsupervised":[76],"corpus,":[78],"enabling":[79],"few-shot":[80],"classification.":[83],"Experimental":[84],"results":[85],"demonstrate":[86],"that":[87],"proposed":[89],"significantly":[91],"improves":[92],"performance":[94],"scenarios.":[101],"work":[103,126],"provides":[104],"new":[106],"research":[107],"idea":[108],"Hopefully,":[121],"will":[123],"inspire":[124],"subsequent":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}