The CLIP talk today is by @alan_ritter (Ohio State): "What’s So Hard About Natural Language Understanding?"
Join us at 11am in IRB 4105!
https://t.co/xqYdJToXXA
we (@umdclip) have loved using @FigureEightInc (formerly CrowdFlower) for crowdsourcing for years. as others have heard, there apparently won't be any more free subs for academic insts & we can't afford $30k. what do folks use as alternatives (other than mturk, which is painful)?
The CLIP talk today is on "Natural Language Processing and Text Mining with User Behavior Data" by
Xiaozhong Liu from Indiana University Bloomington.
Join us!
https://t.co/xqYdJTGzma
Got a first look at the new @umdclip lab in the #iribecenter yesterday with @barrowjoseph. The view is really nice; I see trees, grass, sun, open space! Can't wait to move in Wednesday.
Want a #machinelearning/#ai postdoc, with freedom of topics, no abstruse required paperwork annoyances, a new building, and a fun city to live in?
Check out the new postdoc fellow positions at @umiacs Center for Machine Learning! Ddl Apr 15.
https://t.co/XmFwA7Y8UY
Several of us wrote a blog post in memory of our dear friend and collaborator Jan Wiebe.
Jan was a true NLP pioneer & started the area of opinion mining and analysis.
Those who knew Jan well also remember her for her sense of humor and contagious laugh!
https://t.co/jQaYdTefPK
Dear World: These women represent an important part of the future of computing. At #umdcs, we learn so much from our students--especially how to question and challenge power structures to promote equality for university-aged women in computing. #InternationalWomensDay#futureofcs
10 years ago, I got my #PhD from @umdcs@umdclip. Doug Oard was a SUPER advisor and a SUPER mentor.
Supported me A LOT during and after my PhD (and still to date!).
Taught me how to be a researcher and (more importantly!) how to be an advisor and a mentor.
GREAT Memories!
Congratulations to CLIP PhD students Denis Peskov and Michelle Yuan (@michyuan) who have both been selected as semifinalists for the Fullbright U.S. Student Program!
Thank you for all the fun read on the latest sentence representation and the references to @sesamestreet.
But could the papers for these hyped-up pre-trained models be more like this https://t.co/ePhf5YsT9G from @boydgraber, @haldaume3 and colleagues?
#nlproc
I enjoyed doing the Inside Angle podcast with Dr. Gordon Moore, where we discussed machine learning, natural language processing, health records, and mental health: https://t.co/CT7A7aoaX9. Runs ~25min - have a listen!