| 1 |
Examining the Inductive Bias of Neural Language Models with Artificial Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Examining the Inductive Bias of Neural Language Models with Artificial Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Cultural Variance in Reception and Interpretation of Social Media COVID-19 Disinformation in French-Speaking Regions
|
|
|
|
In: International Journal of Environmental Research and Public Health; Volume 18; Issue 23; Pages: 12624 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
A Non-Linear Structural Probe
|
|
|
|
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
|
|
Abstract:
Probes are models devised to investigate the encoding of knowledge—e.g. syntactic structure—in contextual representations. Probes are often designed for simplicity, which has led to restrictions on probe design that may not allow for the full exploitation of the structure of encoded information; one such restriction is linearity. We examine the case of a structural probe (Hewitt and Manning, 2019), which aims to investigate the encoding of syntactic structure in contextual representations through learning only linear transformations. By observing that the structural probe learns a metric, we are able to kernelize it and develop a novel non-linear variant with an identical number of parameters. We test on 6 languages and find that the radial-basis function (RBF) kernel, in conjunction with regularization, achieves a statistically significant improvement over the baseline in all languages—implying that at least part of the syntactic knowledge is encoded non-linearly. We conclude by discussing how the RBF kernel resembles BERT’s self-attention layers and speculate that this resemblance leads to the RBF-based probe’s stronger performance.
|
|
URL: https://hdl.handle.net/20.500.11850/518983
https://doi.org/10.3929/ethz-b-000518983
|
|
BASE
|
|
Hide details
|
|
|
| 5 |
Examining the Inductive Bias of Neural Language Models with Artificial Languages
|
|
|
|
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
What is needed in culturally competent healthcare systems? A qualitative exploration of culturally diverse patients and professional interpreters in an Australian healthcare setting ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
What is needed in culturally competent healthcare systems? A qualitative exploration of culturally diverse patients and professional interpreters in an Australian healthcare setting ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 10 |
What is needed in culturally competent healthcare systems? A qualitative exploration of culturally diverse patients and professional interpreters in an Australian healthcare setting
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Dialectical, Behaviour Therapy for Aboriginal children and adolescents in residential care: A feasibility study
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
