"We believe real #AI should perform work that would otherwise require a team of analysts and produces insights beyond human capacity." - Alex Merrill, Director of Product, Accrete @Business_AI#AISummitNY
Department of Defense Awards Accrete a multi-million Production Contract. Accrete's dual-use threat detection AI software solution, Argus, will enhance DoD's intelligence competitiveness and bolster U.S. national security.
https://t.co/vTgkPUqcVU
U.S. Department of Defense has awarded #Accrete a multi-million Production OT AI Software Licensing Contract Worth. Argus will enhance DOD's intelligence competitiveness and bolster U.S. national security.
https://t.co/w56a97fKqJ
#AI#SupplyChain#xAI#DualUse
Happy New Year to the Arabic NLP community. An awsome and powerful set of Arabic language models are just released by @wissam_antoun@fadybaly at @aubmindlab
Isn't 2021 great already? 👏👏👏
We're looking forward to new research directions and applications in Arabic NLP #ArabicNLP#NLProc
Note: We're currently working on a detector to facilitate the detection of outputs of AraGPT2 models
5/5
Fact checking is also about asking the right questions. Happy to introduce our #emnlp2020 work led by Angel Fan on “QA Briefs” that ask and answer such questions for a claim. With such briefs layman fact checkers can become more accurate and efficient! https://t.co/h9pvSaJNpi 1/
We are presenting our work on "We Can Detect Your Bias: Predicting the Political Ideology of News Articles" at #EMNLP2020
https://t.co/GKLOWxHyWu
https://t.co/kYJWV0p4wn
You can join us in "Gather Session 3C: Machine Learning for NLP". @RamyBaly@giodsm
Nice #EMNLP2020 paper predicting political bias from @RamyBaly at https://t.co/qONBMqidO1 . I wonder if using an ensemble of adversaries for the Adversarial Source Adaption would help improve results further (e.g. as per https://t.co/1FracdHlDQ )
@_joestacey_ Thanks @_joestacey_
It depends on the adversaries you are designing and what they are aimed for. But definitely, as the results in our paper suggest, there is much room for improvements. Good luck
#QCRI_CSAIL
Watch our #acl2020nlp video presentation: What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context by
@RamyBaly
https://t.co/DmkNS5cYqu
In a surprising twist/pivot,
OpenAI launches a waitlist for a neat enterprise software API. @Huggingface becomes an open ai company with amazing open source nlp toolkit.
I'm loving the progress in nlp this last decade.
Our paper "What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context" was accepted @aclmeeting. Congrats to all:
@RamyBaly, @preslav_nakov, @JisunAn, @haewoon, @ahmaksod, Yoan Dinkov and James Glass
@zaidalyafeai hey guys! good news for the arabic nlp community. my friend and I have trained AraBERT, we're uploading the tensorflow version tomorrow to huggingface repo. we have trained two versions with different tokenizing techniques.
I hope u enjoy the models ✌
@zaidalyafeai hey guys! good news for the arabic nlp community. my friend and I have trained AraBERT, we're uploading the tensorflow version tomorrow to huggingface repo. we have trained two versions with different tokenizing techniques.
I hope u enjoy the models ✌