arXiv Open Access 2018

Extrapolation in NLP

Jeff Mitchell Pasquale Minervini Pontus Stenetorp Sebastian Riedel

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Abstrak

We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. We show that this is true for two popular models: the Decomposable Attention Model and word2vec.

Topik & Kata Kunci

cs.CL

Penulis (4)

Jeff Mitchell

Pasquale Minervini

Pontus Stenetorp

Sebastian Riedel

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APA MLA BibTeX

Mitchell, J., Minervini, P., Stenetorp, P., Riedel, S. (2018). Extrapolation in NLP. https://arxiv.org/abs/1805.06648

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Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓