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Yiming Cui Jul 10
I know some of you still want to get SCORES for your paper reviews. Yes, the time has come😄. I build a simple BERT-large-based scorer for you. Just a toy, so PLEASE treat your rebuttal SERIOUSLY despite what scores are given.
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Mihail Eric Jul 8
Want to stay up-to-date on your literature but don’t have the time to read each paper? Np, I got you! 😏 I added short TLDR snippets to each entry in my growing list of essential papers: Thanks to for the awesome suggestion!
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Katharina Kann Jul 9
Replying to @hilaryprichard
Thanks to everyone for your support! I was very thankful for every message I got (on Twitter and elsewhere). Also, in response to , I would like to say that, with very few exceptions, I personally receive is an extremely friendly and welcoming community!
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Anna Rogers Jul 10
More reviews saying "this is just another dataset / annotation scheme for task A, there's already too many of those". Why does nobody ever complain "this is yet another model for task A"?
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Tuhin Chakrabarty Jul 10
Reviewer 1:Finally, the paper is clearly written. Reviewer 2:Overall, the paper is well written & motivated & addresses an interesting issue that has not been previously explored in-depth Reviewer 3:Nothing is clear to me !!!! EVERYTHING IS BAD ABOUT THIS PAPER
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Thomas Kober Jul 12
Dear Twitter ppl, would you consider it OK to publish the reviews of a paper (anonymously), together with the response as part of the paper’s public github repository?
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Karl Moritz Hermann Jul 15
Screw you Softconf and your 600 word limit notification. I'm trying to edit this down, stop interrupting me every five second with another alert box! Also, what's up with that word limit on author responses?
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Aaditya Joshi Jul 10
Strongly feel that "there is no reason to accept the paper" under the "reasons to accept" field should be discouraged. How difficult is it to be considerate and state exactly one reason to accept? ("Useful idea?")
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Kenneth Huang Jul 13
Don't deliberately bid your ex's paper to review.
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☞Cassidy Jul 9
hey can we not create professional save havens for abusers? The silence from leadership right now speaks volumes 🙃
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Yiming Cui Jul 9
Got the email and confirm that scores will NOT be shown. `With this in mind, we decided not to show scores during author response, hoping that you can focus on identifying and clarifying misunderstandings in reviews without being biased by reviewer scores. `
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Shomir Wilson Jul 14
Replying to @ShomirWilson
In 2009, as a student, I attended my first ACL. I registered late and received no information about mentorship. I was the first person from my lab to go to an conference, and I had no one to introduce me to people. Nobody had heard of my advisor, who didn’t work in NLP.
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RacheleSprugnoli Jul 11
Interested in historical word embeddings? Curious about 2 extrinsic evaluations using tasks ( & event processing)? Passionate about ? We have the poster for you at board 31! I'll be on twitter if you have questions!
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Cassandra Jacobs cannot compartmentalize Jul 8
Looking forward to becoming a welcoming place for abusive academics
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Antoine Bosselut Jul 10
It's incredible to me how many reviews I see giving lower scores to papers because there's "no modeling contribution." Why do we have such a bias for this? Most models end up having little impact on the development of the field in general.
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Filip Ilievski Jul 14
PhD dissertation printed🕺🎓💫 All about the identity of long-tail entities in text
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Zhiyuan  Liu Jul 7
Adversarial attack and defense is a rising and interesting research topic for NLP. Chenghao, Fanchao, and Yuan in my group recently collect some must-read papers on Textual Adversarial Attack and Defense:
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Katharina Kann Jul 9
Replying to @ACL_NLP @NAACLHLT
However, I sadly also heard rumors that other people in went through similar situations recently, and while I haven’t talked to anyone directly, I think it probably shows that indeed there is a need for better mechanisms to handle abuse of power (, ).
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Miryam de Lhoneux should be editing Jul 9
people it is high time we stopped using gold POS tags in parsing, *especially* in cross-lingual parsing! I keep pointing out this paper in reviews, seems undercited and not known enough:
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volkan cirik Jul 9
Can we stop drawing grandiose conclusions from experiments on SYNTHETIC DATA for a real language phenomenon? Thx!
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