Sequence Generation Task
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A Sequence Generation Task is a Sequence Learning Task whose output is a sequence dataset who elements follows their natural order.
- Example(s):
- Counter-Example(s):
- See: Complex-Output Classification Task, Linguistic Sequence, Sentence, Sentence Segmentation Task, Sequence-to-Sequence Neural Network.
References
2019
- (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Sequence_learning#Sequence_learning_problems Retrieved:2019-2-24.
- Sequence learning problems are used to better understand the different types of sequence learning. There are four basic sequence learning problems: sequence prediction, sequence generation, sequence recognition, and sequential decision making. These “problems” show how sequences are formulated. They show the patterns sequences follow and how these different sequence learning problems are related to each other.
Sequence prediction attempts to predict the next immediate element of a sequence based on all of the preceding elements. Sequence generation is basically the same as sequence prediction: an attempt to piece together a sequence one by one the way it naturally occurs ...
- Sequence learning problems are used to better understand the different types of sequence learning. There are four basic sequence learning problems: sequence prediction, sequence generation, sequence recognition, and sequential decision making. These “problems” show how sequences are formulated. They show the patterns sequences follow and how these different sequence learning problems are related to each other.
2001
- (Sun, 2001) ⇒ Ron Sun. (2001). “Introduction to Sequence Learning.” In: Sequence Learning - Paradigms, Algorithms, and Applications. ISBN:978-3-540-44565-4 doi:10.1007/3-540-44565-X_1
- QUOTE: ... (2) sequence generation, in which we want to generate elements of a sequence one by one in their natural order; ...