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How to Probe Sentence Embeddings in Low-Resource Languages: On
  Structural Design Choices for Probing Task Evaluation

How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation

16 June 2020
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
ArXivPDFHTML

Papers citing "How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation"

5 / 5 papers shown
Title
Global Explainability of BERT-Based Evaluation Metrics by Disentangling
  along Linguistic Factors
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
Marvin Kaster
Wei-Ye Zhao
Steffen Eger
27
24
0
08 Oct 2021
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with
  Controllable Perturbations
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations
Ekaterina Taktasheva
Vladislav Mikhailov
Ekaterina Artemova
24
13
0
28 Sep 2021
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
Vassilina Nikoulina
Maxat Tezekbayev
Nuradil Kozhakhmet
Madina Babazhanova
Matthias Gallé
Z. Assylbekov
34
8
0
02 Mar 2021
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
201
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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