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What do Toothbrushes do in the Kitchen? How Transformers Think our World is Structured. (arXiv:2204.05673v1 [cs.CL])
April 13, 2022, 1:11 a.m. | Alexander Henlein, Alexander Mehler
cs.CL updates on arXiv.org arxiv.org
Transformer-based models are now predominant in NLP. They outperform
approaches based on static models in many respects. This success has in turn
prompted research that reveals a number of biases in the language models
generated by transformers. In this paper we utilize this research on biases to
investigate to what extent transformer-based language models allow for
extracting knowledge about object relations (X occurs in Y; X consists of Z;
action A involves using X). To this end, we compare contextualized …
More from arxiv.org / cs.CL updates on arXiv.org
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