𝗛𝗮𝗱𝘆 𝗘𝗹𝘀𝗮𝗵𝗮𝗿 Profile picture
I am a human being, I am your equal ✊🏿✊🏾✊🏻 Research Scientist in #NLProc @naverlabseurope Identity ∈ ℂ ; Borders ∈ 𝕀 , @MasakhaneNLP
Tapan jain Profile picture 1 subscribed
Aug 2, 2019 19 tweets 8 min read
#rep4nlp Yulia Tsvetkov talk #4

"Modeling Output spaces of NLP models" instead of the common #Bertology that focuses on Modeling input spaces only.

#ACL2019nlp The focus in the presentation will be on Conditional language generation
#MT #summarization ..etc
Aug 2, 2019 13 tweets 7 min read
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
Aug 2, 2019 10 tweets 6 min read
#rep4nlp Invited talk 2: @mohitban47 "Adversaially robust Representation Learning"

#acl2019nlp @mohitban47 Adv. examples can break Reading comprehension systems.

"Adversarial Examples for Evaluating Reading Comprehension Systems" Jia and liang 2017
arxiv.org/abs/1707.07328
Aug 2, 2019 13 tweets 11 min read
Marco Baroni is starting the first invited talk at #rep4nlp
"Language is representations by itself. " #ACL2019nlp @sigrep_acl @sigrep_acl Marco is talking about his previous work about the emergence of language communication between agents.

References:

"MULTI-AGENT COOPERATION
AND THE EMERGENCE OF (NATURAL) LANGUAGE"
arxiv.org/pdf/1612.07182…

"How agents see things"
aclweb.org/anthology/D18-…

#ACL2019nlp
Jul 30, 2019 5 tweets 2 min read
@yuedongP et al. presenting: neural programmer interpreter model for sentence simplification. MT methods for text simplification suffer from conservatism. meaning they simply less and copy more. This mainly because the high overlap between source and target data because of monolingualism
Jul 30, 2019 5 tweets 3 min read
Highres: Reference-less Evaluation of summarisation

sashy narayan, hardy and @vlachos_nl
#acl2019nlp Automatic single reference based evaluation of summarisation is biased for several reasons. human evaluation is not feasible.
Jul 30, 2019 5 tweets 2 min read
ACL keynote#1 Liang Huang: Simultaneous Translation (Machine Interpretation)

One of the main reasons for latency in Simultaneous Machine Translation is the problem of Word order (e.g. German verb comes at the end) #ACL2019nlp Current solutions in industry at the moment was to translate sentence by sentence which will introduce some latency. Work in academia include methods that either anticipates the "German verb" on the source-side.
or RL to keep waiting for the german verb (Gu et al. 2017)
Jul 28, 2019 40 tweets 19 min read
Tutorial 2: Story telling from structured data ans knowledge graphs #ACL2019nlp
Anirban laha @anirbanlaha Parag jain
#data2text #nlproc #NLG @anirbanlaha Motivations for #Data2Text:
* Answer display in Question Answering systems
* kB summarization
* Question Generation
Jul 28, 2019 40 tweets 19 min read
#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)