Wuwei Lan

Applied Scientist at AWS

[Amazon Web Services @awscloud]

Getting answers of your data got easier. ☁️💻🛋 With Amazon Quicksight Q, use the power of #MachineLearning to get answers to your questions in the language of your business, no BI expertise needed. Quick answers >> better decisions >> easiest to use! https://t.co/62BzpxPjKu

[Wuwei Lan @osu_lan]

@tscholak Great work! I am curious why you use Haskell for PICARD implementation.

[Wuwei Lan @osu_lan]

Here is the GitHub link: https://t.co/Ln2aMFIiv9

[Wei Xu @cocoweixu]

🙌 We are releasing GigaBERT (@emnlp2020 paper) 🙌

A customized bilingual BERT for Arabic NLP and English-to-Arabic zero-shot transfer learning. Better performance than mBERT, XLM-RoBERTa, AraBERT. #nlproc

Preprint: https://t.co/KyFYfo1i0M
Huggingface: https://t.co/rvk2HlHixj

[Vedant Das Swain @VedantNeedMoEdu]

WIP draft of @Bahador10's dissertation (Saket, 2020). A nice reminder to compliment yourself. Hold your ground. And keep fighting!
.
(but do take those off-days :P )
#phdchat #AcademicTwitter

[Walid Magdy 🇵🇸 @Walid_Magdy]

As someone worked for both industry & academia, I think:

Academia: X salary, Y workload, Z freedom
Industry: >2X salary, <0.8Y workload, <0.4Z freedom

Joy of Job = w1 salary - w2 workload + w3 freedom

Based on your weights for each factor, you decide which you'll enjoy more!

[Alan Ritter @alan_ritter]

So you want to be a Research Scientist – Vincent Vanhoucke – Medium https://t.co/HruZbPhXOx

[Wuwei Lan @osu_lan]

@Lasha1608 ^_^thanks

[Wuwei Lan @osu_lan]

I was very thrilled to present our best paper work in #COLING2018 ! here are the slides: https://t.co/3ZsoVDHpJA

[Wuwei Lan @osu_lan]

@emilymbender Thanks!!

[Leon Derczynski ⚒️☁️🏔️🌲 @LeonDerczynski]

#COLING2018 Best Reproduction Paper

[Wuwei Lan @osu_lan]

Nice talk! It's thought-provoking...

[COLING2018 @coling2018]

Min-Yen Kan's keynote slides are now available through the #COLING2018 website: https://t.co/cUyxdmBEwn

[Wuwei Lan @osu_lan]

Thanks @nlpmattg and @waleed_ammar for recording this!

[Matt Gardner @nlpmattg]

#nlphighlights 64: @osu_lan and @cocoweixu tell us about their COLING 2018 best reproduction paper, filling in the cross product between models and datasets in sentence pair classification. A very nice set of experiments! https://t.co/p24ngJYEES

[Wuwei Lan @osu_lan]

"brittleness"😅

[Pedro Domingos @pmddomingos]

A tale of two AI summers:
1980s Now
Expert systems Deep learning
More rules! More data!
LISP machines GPUs
Cyc DeepMind
Brittleness Brittleness

[Wuwei Lan @osu_lan]

Great! https://t.co/LpMtGlLMRh

[Sebastian Ruder @seb_ruder]

NLP-progress is trending on GitHub today! And already 4 PRs! This is so awesome! Thanks everyone for contributing! https://t.co/bXT6jQYMIc

[COLING2018 @coling2018]

The best papers for #COLING2018 have been announced. Congratulations to all the winners on your fine work! https://t.co/w8LjiBChwY #NLProc

[Wuwei Lan @osu_lan]

Great!! https://t.co/lCdcNn0ouF

[Jacob Andreas @jacobandreas]

Excited to announce that I'll be joining the @MIT_CSAIL faculty in fall 2019!

[Wuwei Lan @osu_lan]

@jacobandreas @MIT_CSAIL Congratulations!

[Wuwei Lan @osu_lan]

Last week we were busy about the camera ready, now we can add more things :) https://t.co/4FCNvxvr35

[Sebastian Ruder @seb_ruder]

All-star panel at the generalization in deep learning workshop at @NAACLHLT #Deepgen2018

[Wuwei Lan @osu_lan]

😀 https://t.co/LdLAQY2jg8

[Wei Xu @cocoweixu]

Preview of our NAACL 2018 poster "Character-based Neural Networks for Sentence Pair Modeling" 1st day of main conference (June 2) 15:30 - 17:00 (Semantics 1 Session) #NAACL2018 @NAACLHLT #nlproc