Wordnet for Definition Augmentation with Encoder-Decoder Architecture
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Wojtasik, Konrad; Janz, Arkadiusz; Alberski, Bartłomiej and Piasecki, Maciej, 2023,
Wordnet for Definition Augmentation with Encoder-Decoder Architecture, CLARIN-PL Repository,
http://hdl.handle.net/11321/1003.
Autorzy
Data
2023-01-01
Opis
Data augmentation is a difficult task in Natural Language Processing. Simple methods that can be relatively easily applied in other domains like insertion, deletion or substitution, mostly result in changing the sentence meaning significantly and obtaining an incorrect example. Wordnets are potentially a perfect source of rich and high quality data that when integrated with the powerful capacity of generative models can help to solve this complex task. In this work, we use plWordNet, which is a wordnet of the Polish language, to explore the capability of encoder-decoder architectures in data augmentation of sense glosses. We discuss the limitations of generative methods and perform qualitative review of generated data samples.
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Ten zasób jestCCi został udostępniony na licencji:Creative Commons - Attribution 4.0 International (CC BY 4.0)
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- Wojtasik et al, Wordnet for Definition Augmentation.pdf
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- 227.78 KB
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- article
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- 4e9335f8e92007f73112c11e4af78fbb
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