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#rep4nlp Yulia Tsvetkov talk #4
"Modeling Output spaces of NLP models" instead of the common #Bertology that focuses on Modeling input spaces only.
#ACL2019nlp
"Modeling Output spaces of NLP models" instead of the common #Bertology that focuses on Modeling input spaces only.
#ACL2019nlp
"to be able to build diverse NLP models for 1000s of users we have to build 100ks of models for combinations of:
* Languages
* Tasks
* Domains
* People preferences
* Languages
* Tasks
* Domains
* People preferences
Talk3: @raquelfdzrovira talking about representations shaped by dialogue interaction data.
#ACL2019nlp #rep4nlp
#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"
Instead of pre-defined symbolic representations for dialogue systems lets model visually grounded agents that learn to "see, ask and guess"
@mohitban47 Adv. examples can break Reading comprehension systems.
"Adversarial Examples for Evaluating Reading Comprehension Systems" Jia and liang 2017
arxiv.org/abs/1707.07328
"Adversarial Examples for Evaluating Reading Comprehension Systems" Jia and liang 2017
arxiv.org/abs/1707.07328
To fix that: "AddSentDiverse" a mod of AddSent (Jia et al. 2017), aimed at producing adversarial examples for robust training purposes based on rule-based semantic rules
Robust Machine Comprehension Models via Adversarial Training (NAACL2018 short)
arxiv.org/pdf/1804.06473…
Robust Machine Comprehension Models via Adversarial Training (NAACL2018 short)
arxiv.org/pdf/1804.06473…
Marco Baroni is starting the first invited talk at #rep4nlp
"Language is representations by itself. " #ACL2019nlp @sigrep_acl
"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
References:
"MULTI-AGENT COOPERATION
AND THE EMERGENCE OF (NATURAL) LANGUAGE"
arxiv.org/pdf/1612.07182…
"How agents see things"
aclweb.org/anthology/D18-…
#ACL2019nlp
@sigrep_acl Efficient encoding of input information:
"We explore providing some information to the sender and receiver agents and look at the emerging language if it develops to ignore the redundant parts of the input"
Kharitonov et al. 2019
arxiv.org/abs/1905.13687
#ACLnlp2019 #rep4nlp
"We explore providing some information to the sender and receiver agents and look at the emerging language if it develops to ignore the redundant parts of the input"
Kharitonov et al. 2019
arxiv.org/abs/1905.13687
#ACLnlp2019 #rep4nlp
