{"id":"https://openalex.org/W4392845738","doi":"https://doi.org/10.1145/3625007.3629126","title":"Improving Chinese Fact Checking via Prompt Based Learning and Evidence Retrieval","display_name":"Improving Chinese Fact Checking via Prompt Based Learning and Evidence Retrieval","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4392845738","doi":"https://doi.org/10.1145/3625007.3629126"},"language":"en","primary_location":{"id":"doi:10.1145/3625007.3629126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3629126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3629126","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3629126","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064490830","display_name":"Yu-Yen Ting","orcid":"https://orcid.org/0009-0003-8475-0860"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Yen Ting","raw_affiliation_strings":["Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0009-0003-8475-0860","affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078524542","display_name":"Chia\u2010Hui Chang","orcid":"https://orcid.org/0000-0002-1101-6337"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hui Chang","raw_affiliation_strings":["Computer Science and Information Engineering, National Central University, Taoyuan, -- Select One --, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-1101-6337","affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, National Central University, Taoyuan, -- Select One --, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064490830"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60889012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9940000176429749,"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":0.9940000176429749,"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":0.9797000288963318,"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":0.9768000245094299,"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":0.7745593786239624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4131665825843811},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37038862705230713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745593786239624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4131665825843811},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37038862705230713}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625007.3629126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3629126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3629126","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625007.3629126","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3629126","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3629126","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392845738.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2789566302","https://openalex.org/W2970641574","https://openalex.org/W3168867926","https://openalex.org/W3185341429","https://openalex.org/W4221159403","https://openalex.org/W4280534475","https://openalex.org/W4283452667","https://openalex.org/W6792279967","https://openalex.org/W6796581206"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Verifying":[0],"the":[1,10,15,30,44,52,81,107,125,146,151,166],"accuracy":[2],"of":[3,12,84,128,154],"information":[4],"is":[5,131,171],"a":[6],"constant":[7],"task":[8],"as":[9,62],"prevalence":[11],"misinformation":[13],"on":[14,22],"Web.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,104],"focus":[21],"Chinese":[23],"fact-checking":[24,148],"(CHEF":[25],"dataset)":[26],"[1]":[27],"and":[28,39,54,65,96,111,138,142],"improve":[29,80,117],"performance":[31,83,127,153],"through":[32],"prompt-based":[33,57,77],"learning":[34,58,78],"in":[35],"both":[36,106],"evidence":[37,102,118,129,169],"retrieval":[38,119,130,170],"claim":[40,70,85,155],"verification.":[41,71],"We":[42],"adopted":[43],"Automated":[45],"Prompt":[46],"Engineering":[47],"(APE)":[48],"technique":[49],"to":[50,91,116,136,163],"generate":[51],"template":[53],"compared":[55],"various":[56],"training":[59],"strategies,":[60],"such":[61],"prompt":[63],"tuning":[64],"low-rank":[66],"adaptation":[67],"(LoRA)":[68],"for":[69],"The":[72],"research":[73],"results":[74,122],"show":[75,123],"that":[76,124],"can":[79,157],"macro-F1":[82,152],"verification":[86],"by":[87,140,173],"2%-3%":[88],"(from":[89],"77.62":[90],"80.29)":[92],"using":[93],"golden":[94],"evidences":[95],"110M":[97],"BERT":[98],"based":[99],"model.":[100],"For":[101],"retrieval,":[103],"use":[105],"supervised":[108],"SentenceBERT":[109],"[2]":[110],"unsupervised":[112],"PromptBERT":[113,141],"[3]":[114],"models":[115],"performance.":[120],"Experimental":[121],"micro-F1":[126],"significantly":[132,159],"improved":[133,160],"from":[134,161],"11.86%":[135],"30.61%":[137],"88.15%":[139],"SentenceBERT,":[143],"respectively.":[144],"Finally,":[145],"overall":[147],"performance,":[149],"i.e.":[150],"verification,":[156],"be":[158],"61.94%":[162],"80.16%":[164],"when":[165],"semantic":[167],"ranking-based":[168],"replaced":[172],"SentenceBERT.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}