Excited for my first presentation at @sig_typ@eaclmeeting on 6th May! My PhD project "Gradual Language Model Adaptation Using Fine-Grained Typology" may increase model adaptation efficiency for resource-poor languages. See you there! #eacl2023#sigtyp
Thus the goals of @heather_nlp's work will be to 1) engage with communities to work toward needed NLP technologies, 2) leveraging Creoles as a lens to research & improve methods in transfer learning. #SDGs#creoles 3/3 @johannesbjerva
At the same time, the linguistic makeup of #creoles, featuring multilingual lexicon and syntax, provide an ideal (yet under studied!) environment to investigate the strengths 🦾 and limitations 🛑 of transfer learning, & to develop and test new methods. 2/3 @johannesbjerva
Finally, @heather_nlp brings a whole new set of languages to the table! #creoles are spoken across the globe, but lack of resources & pervasive stigma hinder the development of technologies for these languages. #NLProc 1/3 @johannesbjerva
While MWE's have achieved state-of-the-art perf. on cross-lingual transfer for low-resource lang's, there is much potential left unused in linguistic resources for various linguistic features. #LingTyp@YiyiChen will investigate how to best integrate these! 2/2 @johannesbjerva
It was a busy and exciting project start yesterday! The project's final PhD student, @YiyiChen, will work on a framework to combine a resource-efficient fine-tuning strategy and linguistic features for better transferability of Multilingual Word Embeddings. 1/2 @johannesbjerva
This has been shown to be facilitated by typological (structural) similarity between lang's. Can cross-lingual transfer be enhanced by model adaptation in a step-by-step fashion, maximizing typological similarity between the lang's in each step? 🤔 #NLProc 2/2 @johannesbjerva
.@v4rmer will look at multilingual language models which can generalize linguistic info between different languages. Via cross-lingual transfer, these models can leverage knowledge from resource-rich languages to the benefit of resource-poor ones #NLProc ✨ 1/2 @johannesbjerva
However, there is explicit typological information available (e.g. word ordering, morphological features) from #LingTyp! How can we best leverage these explicit typological features for improving, e.g., machine translation to and from low-resource languages? 2/2 @johannesbjerva
.@EstherPloeger notes that Large Language Models have improved perf for #NLProc in English, but also enlarged the perf gap between high-resource and low-resource languages: for the latter, large quantities of raw text (required by LLMs) are often unavailable. 1/2 @johannesbjerva
11K Followers 8K FollowingPwòf lengwistik @MIT https://t.co/mlfFKbx9C5 & Grenadye @MITHaiti https://t.co/TTV7SZ6u88 pou lekòl tèt an wo & Akademisyen @Akademi_Kreyol. I TWEET IN MY NAME ONLY
999 Followers 604 FollowingPostdoc @uni_copenhagen @CopeNLU | Making the world's knowledge reliable and accessible w/ ML + NLP | Former @umsi @allen_ai @IBMResearch @ucsd_cse
556 Followers 597 FollowingAssistant professor at UPV/EHU. He/him. NLP for low-resource settings (cross-lingual, multi-task, transfer learning). https://t.co/V9QxkfVTrB
3K Followers 4K Following#bigdata cannot be learned in slides or in committee, it's like a #sport, it's practical | work @Capgemini on #BigData #DataLake #DataScience
278 Followers 430 FollowingPost-Doctoral researcher in Fairness and Interpretability in NLP @coastalcph. Previous PhD student in ML @TUBerlin. she/her https://t.co/SmkBYV8WyI
383 Followers 356 FollowingAssociate Professor of Software Engineering @CompSciAAU 🇩🇰 Interested about the Future of Work, Agile teams, and empirical methods.
3K Followers 1K Following#NLProc assistant prof @CW_KULeuven, PI @lagom_nlp. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
1K Followers 1K FollowingInactive profile, not deleted (for now) to prevent impersonation. Find me on the other platform.
Postdoc @uva_amsterdam on uncertainty & generalization in NLP
216 Followers 433 FollowingResearch Scientist at @Meta. PhD Student at @ucl_nlp. Formerly MSc AI at @UM_DACS & BSc CS at @MatCom_UH. Working on Low-Resource MT and linguistic reasoning.
999 Followers 604 FollowingPostdoc @uni_copenhagen @CopeNLU | Making the world's knowledge reliable and accessible w/ ML + NLP | Former @umsi @allen_ai @IBMResearch @ucsd_cse
383 Followers 356 FollowingAssociate Professor of Software Engineering @CompSciAAU 🇩🇰 Interested about the Future of Work, Agile teams, and empirical methods.
3K Followers 1K Following#NLProc assistant prof @CW_KULeuven, PI @lagom_nlp. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
7K Followers 1K FollowingVi støtter grundvidenskabelig #dkforsk inden for natur-, humaniora- og samfundsvidenskab. Tweeter om ny viden, #forskpol, events, podcasts mv.
605 Followers 684 FollowingDekan, Det Tekniske Fakultet for IT og Design, AAU Digitalisering er en forudsætning for den grønne omstilling Kontakt: +45 25 67 49 89; [email protected]