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Probing with Noise: Unpicking the Warp and Weft of Embeddings

Probing with Noise: Unpicking the Warp and Weft of Embeddings

21 October 2022
Filip Klubicka
John D. Kelleher
ArXivPDFHTML

Papers citing "Probing with Noise: Unpicking the Warp and Weft of Embeddings"

6 / 6 papers shown
Title
Topic Aware Probing: From Sentence Length Prediction to Idiom
  Identification how reliant are Neural Language Models on Topic?
Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?
Vasudevan Nedumpozhimana
John D. Kelleher
23
1
0
04 Mar 2024
Idioms, Probing and Dangerous Things: Towards Structural Probing for
  Idiomaticity in Vector Space
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space
Filip Klubicka
Vasudevan Nedumpozhimana
John D. Kelleher
27
3
0
27 Apr 2023
Probing Taxonomic and Thematic Embeddings for Taxonomic Information
Probing Taxonomic and Thematic Embeddings for Taxonomic Information
Filip Klubicka
John D. Kelleher
17
2
0
25 Jan 2023
Metaphors in Pre-Trained Language Models: Probing and Generalization
  Across Datasets and Languages
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages
Ehsan Aghazadeh
Mohsen Fayyaz
Yadollah Yaghoobzadeh
20
51
0
26 Mar 2022
With Little Power Comes Great Responsibility
With Little Power Comes Great Responsibility
Dallas Card
Peter Henderson
Urvashi Khandelwal
Robin Jia
Kyle Mahowald
Dan Jurafsky
214
115
0
13 Oct 2020
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
196
876
0
03 May 2018
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