{"id":30572,"date":"2024-01-09T10:50:41","date_gmt":"2024-01-09T09:50:41","guid":{"rendered":"https:\/\/kinit.sk\/kinit-at-the-emnlp-conference-in-singapore\/"},"modified":"2024-01-31T12:22:10","modified_gmt":"2024-01-31T11:22:10","slug":"kinit-na-konferencii-emnlp-v-singapure","status":"publish","type":"post","link":"https:\/\/kinit.sk\/sk\/kinit-na-konferencii-emnlp-v-singapure\/","title":{"rendered":"KInIT na konferencii EMNLP v Singapure"},"content":{"rendered":"
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Konferencia EMNLP<\/a> (Empirical Methods in Natural Language Processing) je jednou z najprest\u00ed\u017enej\u0161\u00edch konferenci\u00ed o NLP. Na\u0161i v\u00fdskumn\u00edci R\u00f3bert M\u00f3ro<\/a> a J\u00e1n \u010cegi\u0148 <\/a>na tomto podujat\u00ed prezentovali 3 KInIT \u010dl\u00e1nky.<\/p>\n<\/div>\n\n

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Do hlavn\u00e9ho bloku konferencie boli prijat\u00e9 tri KInIT \u010dl\u00e1nky<\/h3>\n<\/div>\n\n
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Na t\u00fato renomovan\u00fa konferenciu NLP sme zaslali tri vedeck\u00e9 pr\u00edspevky a v\u0161etky boli prijat\u00e9. Ide o v\u00fdznamn\u00fd m\u00ed\u013enik na na\u0161ej publika\u010dnej ceste.<\/p>\n<\/div>\n\n

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1. \u201cMULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark\u201d  <\/h4>\n<\/div>\n\n
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Tento \u010dl\u00e1nok vznikol v\u010faka spolupr\u00e1ci medzi Penn State University<\/a>, MIT Lincoln Laboratory<\/a>, University of Mississippi<\/a> a KInIT-om. Ide o uk\u00e1\u017ekov\u00fd pr\u00edklad medzin\u00e1rodnej spolupr\u00e1ce. \u010cl\u00e1nok je tie\u017e v\u00fdsledkom na\u0161ej pr\u00e1ce na projektoch VIGILANT<\/a> a vera.ai<\/a>. Zaober\u00e1me sa v \u0148om probl\u00e9mom detekcie strojovo-generovan\u00e9ho textu v 11 jazykoch. V r\u00e1mci \u010dl\u00e1nku sme vytvorili a zverejnili benchmarking dataset pre t\u00fato \u00falohu a porovnali existuj\u00face met\u00f3dy.<\/p>\n<\/div>\n\n

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Pr\u00edspevok prezentoval R\u00f3bert M\u00f3ro, \u010dl\u00e1nok si m\u00f4\u017eete pre\u010d\u00edta\u0165 tu<\/a>.<\/p>\n<\/div>\n\n

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\"\"<\/figure>\n<\/div>\n\n
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2. \u201cMultilingual Previously Fact-Checked Claim Retrieval\u201d<\/h4>\n<\/div>\n\n
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V tomto \u010dl\u00e1nku sme sa zamerali na probl\u00e9m vyh\u013ead\u00e1vania overen\u00fdch tvrden\u00ed pre r\u00f4zne jazyky. Predstavili sme unik\u00e1tny s\u00fabor d\u00e1t pre t\u00fato \u00falohu, ktor\u00fd pokr\u00fdva viac ako 30 jazykov. Z\u00e1rove\u0148 sme vykonali rozsiahle porovnanie r\u00f4znych modelov na reprezent\u00e1ciu tvrden\u00ed pri tejto \u00falohe. Tento pr\u00edspevok prezentoval R\u00f3bert M\u00f3ro a je v\u00fdsledkom na\u0161ej pr\u00e1ce na projektoch DisAI<\/a> a CEDMO<\/a>. <\/p>\n<\/div>\n\n

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\u010cl\u00e1nok je k dispoz\u00edcii tu<\/a>.<\/p>\n<\/div>\n\n

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3. \u201cChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness\u201d<\/h4>\n<\/div>\n\n
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Posledn\u00fd \u010dl\u00e1nok na konferencii prezentoval n\u00e1\u0161 doktorand J\u00e1n \u010cegi\u0148. Jedn\u00fdm zo spoluautorov je Peter Brusilovsk\u00fd z University of Pittsburgh<\/a>. Pr\u00edspevok je v\u00fdsledkom na\u0161ej pr\u00e1ce na projektoch CEDMO<\/a> a vera.ai<\/a>. Sk\u00fama mo\u017enosti pou\u017eitia ve\u013ek\u00fdch jazykov\u00fdch modelov (LLM), ako je ChatGPT, pre generovanie tr\u00e9ningov\u00fdch d\u00e1t pomocou parafr\u00e1zovania pre \u00falohu „klasifik\u00e1cie z\u00e1meru“. <\/p>\n<\/div>\n\n

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\u010cl\u00e1nok n\u00e1jdete tu<\/a>.<\/p>\n<\/div>\n\n

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\"\"<\/figure>\n<\/div>\n\n
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Stretnutie s partnermi<\/h3>\n<\/div>\n\n
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Okrem rozhovorov a zozn\u00e1men\u00ed sa s mnoh\u00fdmi v\u00fdskumn\u00edkmi z komunity NLP, bola konferencia aj pr\u00edle\u017eitos\u0165ou stretn\u00fa\u0165 sa s niektor\u00fdmi na\u0161imi spoluautormi a projektov\u00fdmi partnermi. Stretnutie so spoluautormi \u010dl\u00e1nku MULTITuDE<\/a> (Adaku Uchendu, Jason Samuel Lucas a Michiharu Yamashita z Penn State University a<\/a> MIT Lincoln Laboratory<\/a>)  bolo \u00fa\u017easn\u00e9.<\/p>\n<\/div>\n\n

\n

Zauj\u00edmavou s\u00fa\u010das\u0165ou programu konferencie bola napr. aj prezent\u00e1cia Freddyho Heppella<\/a> z University of Sheffield<\/a>. KInIT spolupracuje so Sheffieldskou univerzitou na projektoch  vera.ai<\/a>, VIGILANT<\/a> a ExU<\/a>. <\/p>\n<\/div>\n\n

\n

Bolo tie\u017e skvel\u00e9 vidie\u0165 Simona Ostermanna<\/a> z DFKI<\/a>, s ktor\u00fdm spolupracujeme na projekte DisAI<\/a>.<\/p>\n<\/div>\n\n

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\"\"<\/figure>\n<\/div>\n\n
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O konferencii<\/h3>\n<\/div>\n\n
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Na konferenciu, ktor\u00e1 sa konala 8. a\u017e 10. decembra 2023, pri\u0161lo viac ako 2 000 \u00fa\u010dastn\u00edkov. Jedn\u00fdm zo \u0161tudentsk\u00fdch dobrovo\u013en\u00edkov, ktor\u00ed pom\u00e1hali organizova\u0165 podujatie priamo na mieste, bol aj n\u00e1\u0161 doktorand J\u00e1n \u010cegi\u0148. Bud\u00faci ro\u010dn\u00edk konferencie sa bude kona\u0165 v Miami.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Konferencia EMNLP (Empirical Methods in Natural Language Processing) je jednou z najprest\u00ed\u017enej\u0161\u00edch konferenci\u00ed o NLP. Na\u0161i v\u00fdskumn\u00edci R\u00f3bert M\u00f3ro a J\u00e1n \u010cegi\u0148 na tomto podujat\u00ed prezentovali 3 KInIT \u010dl\u00e1nky. Do…<\/p>\n","protected":false},"author":26,"featured_media":30354,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[83,442],"tags":[104,175],"class_list":["post-30572","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-sk","category-2024-sk","tag-cedmo-sk","tag-conference-sk"],"acf":[],"yoast_head":"\nKInIT na konferencii EMNLP v Singapure - KInIT<\/title>\n<meta name=\"description\" content=\"Konferencia EMNLP (Empirical Methods in Natural Language Processing) je jednou z najprest\u00ed\u017enej\u0161\u00edch konferenci\u00ed o NLP. 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