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Hady Elsahar
@hadyelsahar
, 3 tweets, 2 min read Read on Twitter
Summarization#1 Makino et al. presenting: Global Optimization under Length Constraint (GOLC) for Neural Text Summarization

tldr; Minimum risk training(ROUGE, overlength Penalty)

overlength summaries from 19 (MLE) % to 6% (GOLC)
#acl2019nlp
paper: Global Optimization under Length Constraint for Neural Text Summarization
Takuya Makino, Tomoya Iwakura, Hiroya Takamura and Manabu Okumura
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Hady Elsahar @ACL2019
@hadyelsahar
Talk3: @raquelfdzrovira talking about representations shaped by dialogue interaction data.

#ACL2019nlp #rep4nlp
"Task-oriented dialogue" is the setup we are discussing now because it gives us success notion to the dialogue analyse
The plan:

Instead of pre-defined symbolic representations for dialogue systems lets model visually grounded agents that learn to "see, ask and guess"
Read 12 tweets
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Hady Elsahar
@hadyelsahar
#ACL2019nlp is kicking off by "Latent structure models for NLP" ~ Andre F. T. Martins Tsvetomila Mihaylova @meloncholist @vnfrombucharest

The tutorial slides can be found here: deep-spin.github.io/tutorial/acl.p…

updates here 👇👇

#ACL2019nlp
@meloncholist @vnfrombucharest Andre is starting with a motivational introduction about some structured prediction tasks (POS tagging, Dependency parsing, Word alignment)
@meloncholist @vnfrombucharest * #NLProc before (pipelines) and after (end to end)

*end to end models learn latent continuous vectors that are useful for downstream tasks. which might not be as interpretable as structured hidden representations.
Read 40 tweets

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Daniel Henstra
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Does climate change mean more flooding in Canada? My read of the scientific literature is that we can expect more flooding along rivers, in urban areas and in coastal zones. Here's a thread with some sources.
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For every like I will share a fact about anti-fat bias.
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