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Howcroft et al., 2022 - Google Patents

Most NLG is low-resource: here's what we can do about it

Howcroft et al., 2022

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Document ID
18272103182720732872
Author
Howcroft D
Gkatzia D
Publication year
Publication venue
Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)

External Links

Snippet

Many domains and tasks in natural language generation (NLG) are inherently 'low- resource', where training data, tools and linguistic analyses are scarce. This poses a particular challenge to researchers and system developers in the era of machine-learning …
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Classifications

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    • G06F17/2827—Example based machine translation; Alignment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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