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Prikvačeni tweet
Over the past two years at UT I've developed some NLP course materials. I talked to a couple folks at NAACL who had found these useful, so I wanted to give a quick self plug. Still a work in progress, of course: Grad: http://www.cs.utexas.edu/~gdurrett/courses/fa2018/cs388.shtml … Ugrad: http://www.cs.utexas.edu/~gdurrett/courses/sp2019/cs378.shtml …
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Greg Durrett proslijedio/la je Tweet
Excited to share this Youtube playlist of videos we made
@UTCompSci and@LAITSatUT where I explain/discuss basics in operating systems! Its loosely based on@WisconsinCS Three Easy Pieces OS textbook. Playlist includes demos and code walkthroughs!https://www.youtube.com/playlist?list=PLXWSQNiNZS9RChAFurt2MtDkRhE43TCVw …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Durrett proslijedio/la je Tweet
Thrilled to share with you the launch of the 2020
@TAURUSutaustin Program application! If you know ugrads from trad. marginalized backgrounds interested in summer astro research, please RT this and let them know about TAURUS! Our application link: https://utexas.qualtrics.com/jfe/form/SV_eXlC5CGhmXnxCpD … 1/nPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Durrett proslijedio/la je Tweet
Congrats to our
#NLProc undergrad researcher@shreydesai, who was selected for Honorable Mention for the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award 2020!https://cra.org/about/awards/outstanding-undergraduate-researcher-award/#2020 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Durrett proslijedio/la je Tweet
I'm happy to share my comments on the climate for men from my
#NeurIPS2019 talk:https://www.docdroid.net/u5r0j3S/kidd-neurips.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Greg Durrett proslijedio/la je Tweet
We just published a new dataset for coreference resolution in English literature (as a new layer in LitBank) -- Paper: https://arxiv.org/abs/1912.01140 Data:https://github.com/dbamman/litbank
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Greg Durrett proslijedio/la je Tweet
Hey academic twitter, when was the last time you updated your webpage photo?pic.twitter.com/yxn3vbuZYd
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Greg Durrett proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Greg Durrett proslijedio/la je Tweet
For those struggling to come up with a title for their ACL submission... =)https://twitter.com/nytimes/status/1197726459504316416 …
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Greg Durrett proslijedio/la je Tweet
We welcome Dr. Eunsol Choi into our Department as Assistant Professor of Natural Language Processing. Dr. Choi was awarded the
@facebook Research Fellowship in 2018 and she's working as a visiting research scientist at@GoogleAI.
http://bit.ly/2NCQmlL
#TXCSGameChangerspic.twitter.com/wwyfDWg5QL
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...on HotpotQA as well. We also do some human evaluation of whether humans can answer the underlying questions using the chains extracted by our model, and find that the evidence extracted is usually sufficient for them to do so. Full paper here: https://arxiv.org/pdf/1910.02610.pdf … 4/4
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We show that these chains are equivalent in quality to annotated supporting facts, but are ordered, generalize to other multi-hop datasets, and don't require manual supervision. Our model achieved state-of-the-art on WikiHop (but has since lost it) and gets strong results ... 3/n
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A sequential pointer network extracts the sentences. Unlike other approaches that have been used on datasets like HotpotQA, we don't use annotated supporting facts. Instead, we derive reasoning chains based on entity relations to use at train time. 2/n
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New(ish) preprint available: https://arxiv.org/pdf/1910.02610.pdf … , work by Jifan Chen and Shih-Ting Lin. We tackle multi-hop QA as a problem of extracting a discrete reasoning chain over sentences, then doing QA (with BERT) over those sentences. (1/n)
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Greg Durrett proslijedio/la je Tweet
#NLProc does not have a standard benchmark for interpretability. I am stoked to announce ERASER: the first-ever effort on unifying and standardizing NLP tasks with the goal of interpretability.http://www.eraserbenchmark.com/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Durrett proslijedio/la je Tweet
UNT is hiring in
#NLProc / ML / AI (2 openings). Please reach out if interested (DM or email), or we can chat at#emnlp2019Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Durrett proslijedio/la je Tweet
Great turn out for
#DeepLo Workshop at @emnlp2019. The room is fully loaded and the poster sessions are super well attended! Shoutout to speakers@elgreco_winter Dan Roth@barbara_plank@toutanova & co-organizers@VioletNPeng@ColinCherry@gregd_nlp@haffari Shahram@swabhz !pic.twitter.com/b10gyCYcoR
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Greg Durrett proslijedio/la je Tweet
Check out our paper "Evaluating Lottery Tickets Under Distributional Shifts" (https://arxiv.org/abs/1910.12708 ), to appear as an oral at the
#deeplo workshop at#emnlp2019. Rather surprisingly, we show lottery tickets generalize to unseen domains despite high distributional shifts. (1/3)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Durrett proslijedio/la je Tweet
Our paper “Learning Dense Representations for Entity Retrieval” will be presented
@conll2019 on Monday. I contributed to this effort two summers ago during my internship@GoogleAI with@jasonbaldridge & Daniel Gillick and am proud how it turned out. 1/2 https://arxiv.org/pdf/1909.10506.pdf …pic.twitter.com/WsfZ3KyusN
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(P.S. Aditya will be applying for PhD programs this cycle, so you should hire him!)
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