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Prikvačeni tweet
We developed a tool to evaluate whether a text could have been generated by a language model. This will become increasingly important to prevent abuse.https://twitter.com/srush_nlp/status/1103365098960232449 …
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Sebastian Gehrmann proslijedio/la je Tweet
INLG 2020 (International Natural Language Generation conference) will be in Dublin (Ireland), in the week of 7 Sep (this is the week before COLING in Barcelona)
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Forgot to tag
@boknilev as one of the main co-organizers.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lots of work went into making this as easy as possible :) Also have a look at the rest of the class on structure and interpretation of deep networks (http://sidn.csail.mit.edu/ ). Featuring world-class teachers such as
@irenetrampoline@julius_adebayo@jacobandreas and othershttps://twitter.com/hen_str/status/1223263625328152578 …
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This is based on the code we used for http://exbert.net - super useful for any kind of analysis with
.https://twitter.com/Ben_Hoov/status/1220757078903529476 …
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Sebastian Gehrmann proslijedio/la je Tweet
Here's the complete list of
#acl2020nlp tutorials https://acl2020.org/program/tutorials/ … to be held on Sunday July 5, 2020.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sasha is a fantastic advisor, join him!https://twitter.com/srush_nlp/status/1204789880032833536 …
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Barbara has been a fantastic PhD advisor. She doesn't care much about Twitter, but everyone should still read every word she writes.https://twitter.com/jacobeisenstein/status/1199387080045973504 …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Best poster of
#inlg2019 by Amit Moryossef, Ido Dagan, and@yoavgo on planning for Neural data2text generationpic.twitter.com/P5qybN6a2f
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New paper by salesforce on learning a model-based fact checker for Abstractive Summarization. Definitely a much needed evaluation approach, let's hope that these kinds of metrics will become a new standard. Link: https://arxiv.org/abs/1910.12840
#NLProcHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sebastian Gehrmann proslijedio/la je Tweet
PyTorch-Struct (v0.3 https://github.com/harvardnlp/pytorch-struct …). New features: autoregressive models / beam search, sparse-max dp, alignment/dtw, parallel semi-markov, k-max, pretty docs (http://harvardnlp.github.io/pytorch-struct ) Fun example: gradients of time-warping crf under different semirings.pic.twitter.com/HB3umU5jgd
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Help us celebrate Halloween at
#inlg2019https://twitter.com/INLG2019/status/1188761982775611394 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anyone else early in Tokyo for
#inlg2019 and wants to explore tomorrow? I'm staying near Shinbashi Station. Just shoot me a message and we can meet up!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Crowdsource* I'd love an interpretation for why SwiftKey thought I meant to write an adjective.
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Our ACL tutorial on interpretability got accepted! Please help us crowdsourced potential topics you'd like to see!https://twitter.com/boknilev/status/1188070673303982081 …
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Sebastian Gehrmann proslijedio/la je Tweet
@sebgehr and@hen_str present their new framework for collaborative semantic inference at#ieeevis. Better understanding latent variables might allow humans to more effectively incorporate ML tools into their workflows. See more at http://c-s-i.ai pic.twitter.com/toXGd2LWjs
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Sebastian Gehrmann proslijedio/la je Tweet
Are you interested in becoming a
@HCRCS Postdoctoral Fellow? We are now soliciting applications for the 2020-2021 academic year! Please apply through this link: https://academicpositions.harvard.edu/postings/9320 . For more information, visit https://crcs.seas.harvard.edu/apply .@MilindTambe_AI@hseasHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Shimabukuro et al.'s H-Matrix at
#ieeevis is super interesting. It's an interactive tool to explore typical mistakes that language learners with different native languages make. Available at http://vialab.ca/hmatrix pic.twitter.com/1IFLHdHxPF
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Crowded room at the
#visxai workshop at#ieeevis. Check out http://visxai.io to see all the work. Everything is an interactive "explainable" aiming to make AI more accessible and intuitive.pic.twitter.com/rpp8mPjxjT
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In other news, I just defended my Ph.D! Thanks to everyone at Harvard, especially my committee members
@srush_nlp, Barbara Grosz, and@pmphlt. If you want to learn more about Human-AI collaboration for NLG, here are my slides (video coming soon): https://scholar.harvard.edu/files/gehrmann/files/presentation.pdf …pic.twitter.com/cpb98zWT8T
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