[Retracted] Cross-Domain End-To-End Aspect-Based Sentiment Analysis with Domain-Dependent Embeddings

Algorithm 1

Multitask learning strategy: pseudocode for the multitask learning strategy in CD-E2EABSA.

	Input: training data
	Parameters: W, ED, θCRF
	Output: Target model
(1)	While training steps not end do:
(2)	Generating minibatches for each domain data: B^s, B^t
(3)	θL^sSTM ⟵ f(W, es) (Equation (3))
(4)	∆W, ∆ds, ∆θCRFs  ⟵ train(B^s) (Equation (7))
(5)	θL^tSTM ⟵ f(W, et) (Equation (3))
(6)	∆W, ∆dt, ∆θCRFt ⟵ train(B^t) (Equation (7))
(7)	Update W, dD
(8)	End While