{"id":"https://openalex.org/W4388926151","doi":"https://doi.org/10.48550/arxiv.2311.11583","title":"How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction","display_name":"How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388926151","doi":"https://doi.org/10.48550/arxiv.2311.11583"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.11583","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.11583","pdf_url":"https://arxiv.org/pdf/2311.11583","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.11583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093320986","display_name":"Mohan Raj Chanthran","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577","https://openalex.org/I56590836"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Chanthran, Mohan Raj","raw_affiliation_strings":["School of Information Technology , Monash University Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology , Monash University Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069570912","display_name":"Lay-Ki Soon","orcid":"https://orcid.org/0000-0002-8072-242X","observed_orcids":["https://orcid.org/0000-0002-8072-242X"]},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577","https://openalex.org/I56590836"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Soon, Lay-Ki","raw_affiliation_strings":["School of Information Technology , Monash University Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology , Monash University Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046299378","display_name":"Huey Fang Ong","orcid":"https://orcid.org/0000-0002-3314-9333","observed_orcids":["https://orcid.org/0000-0002-3314-9333"]},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577","https://openalex.org/I56590836"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ong, Huey Fang","raw_affiliation_strings":["School of Information Technology , Monash University Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology , Monash University Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028341302","display_name":"Bhawani Selvaretnam","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577","https://openalex.org/I56590836"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Selvaretnam, Bhawani","raw_affiliation_strings":["School of Information Technology , Monash University Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology , Monash University Malaysia","institution_ids":["https://openalex.org/I11662577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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":0.9970999956130981,"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":0.002199999988079071,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/chatgpt","display_name":"ChatGPT","score":0.9789999723434448},{"id":"https://openalex.org/keywords/malaysian-english","display_name":"Malaysian English","score":0.9340000152587891},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/relation-extraction","display_name":"relation extraction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8019999861717224},{"id":"https://openalex.org/keywords/news-articles","display_name":"news articles","score":0.4819999933242798},{"id":"https://openalex.org/keywords/prompt-engineering","display_name":"prompt engineering","score":0.5590000152587891}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7557188868522644},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.755584716796875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613359451293945},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5496373176574707},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5335054397583008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.444927453994751},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3745393455028534},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20572707056999207},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20355936884880066},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2311.11583","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.11583","pdf_url":"https://arxiv.org/pdf/2311.11583","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.11583","doi":"https://doi.org/10.48550/arxiv.2311.11583","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.11583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.11583","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.11583","pdf_url":"https://arxiv.org/pdf/2311.11583","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388926151.pdf","grobid_xml":"https://content.openalex.org/works/W4388926151.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4392120825","https://openalex.org/W6927061368","https://openalex.org/W4402670206","https://openalex.org/W7168464765","https://openalex.org/W4414231236","https://openalex.org/W4392792351","https://openalex.org/W4409986994","https://openalex.org/W4394842744","https://openalex.org/W4403943296","https://openalex.org/W4410415068"],"abstract_inverted_index":{"Recently,":[0],"ChatGPT":[1,19,91,115,158],"has":[2],"attracted":[3],"a":[4,81,106],"lot":[5],"of":[6,18,90,132,157],"interest":[7],"from":[8,27,57,72,123],"both":[9],"researchers":[10],"and":[11,24,54,70],"the":[12,16,73,129,138,145,155],"general":[13],"public.":[14],"While":[15],"performance":[17,89,156],"in":[20,67,120,141],"named":[21],"entity":[22],"recognition":[23],"relation":[25,160],"extraction":[26],"Standard":[28],"English":[29,47,75,125,143],"texts":[30],"is":[31,48,92],"satisfactory,":[32],"it":[33,39,51],"remains":[34],"to":[35,85],"be":[36],"seen":[37],"if":[38],"can":[40],"perform":[41,118],"similarly":[42],"for":[43,105,159],"Malaysian":[44,46,74,124,142],"English.":[45],"unique":[49,98],"as":[50,86],"exhibits":[52],"morphosyntactic":[53,139,150],"semantical":[55],"adaptation":[56,140,151],"local":[58],"contexts.":[59],"In":[60],"this":[61,149],"study,":[62],"we":[63,112],"assess":[64],"ChatGPT's":[65],"capability":[66],"extracting":[68,121],"entities":[69,122],"relations":[71],"News":[76],"(MEN)":[77],"dataset.":[78],"We":[79],"propose":[80],"three-step":[82],"methodology":[83],"referred":[84],"\\textbf{\\textit{educate-predict-evaluate}}.":[87],"The":[88],"assessed":[93],"using":[94],"F1-Score":[95,131],"across":[96],"18":[97],"prompt":[99],"settings,":[100],"which":[101],"were":[102],"carefully":[103],"engineered":[104],"comprehensive":[107],"review.":[108],"From":[109],"our":[110],"evaluation,":[111],"found":[113],"that":[114,137],"does":[116,152],"not":[117,153],"well":[119],"news":[126],"articles,":[127],"with":[128],"highest":[130],"0.497.":[133],"Further":[134],"analysis":[135],"shows":[136],"caused":[144],"limitation.":[146],"However,":[147],"interestingly,":[148],"impact":[154],"extraction.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-11-23T00:00:00"}
