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Tackling sequence to sequence mapping problems with neural networks

Abstract:

In Natural Language Processing (NLP), it is important to detect the relationship between two sequences or to generate a sequence of tokens given another observed sequence. We call the type of problems on modelling sequence pairs as sequence to sequence (seq2seq) mapping problems. A lot of research has been devoted to finding ways of tackling these problems, with traditional approaches relying on a combination of hand-crafted features, alignment models, segmentation heuristics, and externa...

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Division:
MPLS
Department:
Computer Science
Role:
Author

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Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:04ab319a-839f-4224-b606-45e6dcc23441
Deposit date:
2019-07-07

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