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Semantic role labeling demo #4

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luheng opened this issue Aug 31, 2016 · 3 comments
Closed

Semantic role labeling demo #4

luheng opened this issue Aug 31, 2016 · 3 comments
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@luheng
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luheng commented Aug 31, 2016

Is the setup in demo/semantic_role_labeling/train.sh a full replication of the ACL 2015 paper End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks? Thanks!

@zhangjcqq
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Thanks for your attention, the network architecture in demo is consistent with that paper, while the parameters setup and features are not the optimal. Currently, it's provided to users for study. The experiment code of paper was implemented on the past interface of PaddlePaddle, which is different from this demo. We will update the setup later, after verified experiment on new code.

@luheng
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luheng commented Aug 31, 2016

Thank you so much for your timely reply!

I'm wondering if you happen to have test results from training the current SRL code on the CoNLL2005 training set? And if so, are they close to the numbers reported in the ACL 2015 paper?

@reyoung
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reyoung commented Nov 21, 2016

@luheng We update SRL demo recently. Now, it is same as 'End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks'

@reyoung reyoung closed this as completed Nov 21, 2016
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jim19930609 added a commit that referenced this issue Apr 5, 2022
* [Refactor] refactored eager_gen.py PR #2

* [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes

* Fixed minor issue

* Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition

* Fixed issues

* Supported higher-order grad node generation

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* Fixed yaml typo

* Fixed yaml typo

* fixed minor issues

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* Fixed minor issue

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* Fixed implementation issues with backward graph reconstruction

* Fixed unittest issue

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* Added triple grad test case

* Fixed minor issue
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