Top Tweets for #WNUT
Van Woerden naar Utrecht: treinen kunnen niet stoppen op de tussengelegen stations door een voorwerp in de bovenleiding #WnUt https://t.co/axyyfHaEPO
I can't reconcile the behind the scenes Dutton as a smart, funny, engaging bloke, yet the public Dutton's a deadset blathering dip shit with the charisma & charm of 2 week old road kill.
Keep going Dud, you're Labor's best asset ahead of the other pack of idiots you lead.
#WNut
🎉Our paper on evaluating synthetic code-switching is published at #WNUT collocated with @coling2022!
Paper link: https://t.co/lJRIIt7p21
Check out the #TwitterPoster below👇
#NLProc #COLING #code_switching
It was really nice presenting my paper on Named Entity Recognition on code-mixed #Kanglish social media data at #WNUT collocated with @coling2022! 🎉
This work opens up downstream applications such as information retrieval, question answering, machine translation
#NLProc #COLING
Presented our paper "AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements" at the Eighth Workshop on Noisy User-generated Text (W-NUT 2022)! 😄 #WNUT @coling2022
While on official Prime Ministerial business in Europe, Morrison secretly frolicks through Cornwall looking for dead relatives bones while Albo secretly shoots through to the Ukraine to pledge solidarity.
This stark contrast says a lot about one lifter and one leaner.
#WNut
So has anyone investigated the link between a publicly listed distillery, it's billionaire owner and Liberal Party donor and a $4.5m grant?
#Wnut
🎉🎉🎉 Congrats @sayan__ghosh for winning a best paper award at the EMNLP #wnut workshop (https://t.co/YvlNvo1lrK) for our paper on Detecting Cross-Geographic Biases in Toxicity Modeling.
Joint work with @dylnbkr & @david__jurgens
Paper link: https://t.co/O5gEQSZbnO
Great talking at the Noisy User Generated Workshop on “Robust & Efficient On-device Neural Text Representations via Projections” at #WNUT #EMNLP2021. Thank you for the invitation @cocoweixu & @alan_ritter !
Don't miss @thamar_solorio's invited talk opening the 7th Workshop on Noisy User-generated Text (W-NUT) at #EMNLP2021 this morning (10:05 AM EST). She'll be talking about her recent work addressing temporal drift & low-resource #informationextraction
https://t.co/fFUF4fLBOK
#wnut
r u intrstd in lxcl nrmlztion? 🧐 we present the shared task results at 6:50am GMT #wnut #emnlp2021
w/ @robvanderg @arkaitz @barbara_plank @ben_mlr @i_sanvi @nljubesic @ozzleemmmm @rmahendrarm T.Çolakoğlu @eltimster @tommaso_caselli W.Sidorenko #NLProc
IT&EN blog post below! 👇
MultiLexNorm: a multilingual benchmark for lexical normalization #LexicalNormalization #MultilingualNLP #SharedTask #SocialMedia #emnlp2021 - https://t.co/yoh0rzQJFJ
Check out the three neural architectures proposed for solving the W-NUT 2020 Shared Task-3: COVID-19 Event Extraction from Twitter. Joint work with @XiangyuYang2 @prof_ndeligia #emnlp2020 #wnut @VUB @VUBengineering @imec_int
Our work "Exploitng the best of both worlds", got accepted at #wnut 2020 workshop
https://t.co/JdeVkhVa0Z
22. Workshop on Noisy User-generated Text (#wnut)
https://t.co/Uw6OYQvCcZ
Organisers: @cocoweixu @alan_ritter @eltimster @LeonDerczynski
Deadline: August 25, 2020
https://t.co/Ue1KFPMuzm
#NlProc
We are organizing the 6th WNUT workshop at #EMNLP2020. Submit your papers on noisy user-generated text by August 25. Best paper awards will be sponsored by @Twitter this year. #nlpproc
Dual-submissions from EMNLP/COLING main conferences are welcome!
https://t.co/xl6hw8MauF
@tallinzen @annargrs @MikhailBurtsev @Thom_Wolf @dirk_hovy @ani_nenkova @mohitban47 @MaartenSap @ryandcotterell @ivrik @arumshisky @licwu @LeonDerczynski @eltimster @boknilev @VeredShwartz I think our reviewers for #WNUT are very competent. We put a lot of effort to recruit them. They can handle it!
Good evening #womaninbiz hope your #Monday has been good & productive. I have only got 8 of my #waxmelt #AdventCalendar left, 24 wonderful Christmasy winter scents with 2 extra for #Christmasday https://t.co/tGTKqFJDAt with FREE UK delivery #wnut individual bars coming very soon
#WNUT Best Paper #2: “Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities” by Abhinav Bhandari and Caitrin Armstrong show high-affinity terms signal loyal communities and undergo more semantic drift than low-affinity terms. https://t.co/rchBTP9i8S #emnlp2019
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