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Syntax Representation in Word Embeddings and Neural Networks -- A Survey

Syntax Representation in Word Embeddings and Neural Networks -- A Survey

2 October 2020
Tomasz Limisiewicz
David Marecek
    NAI
ArXivPDFHTML

Papers citing "Syntax Representation in Word Embeddings and Neural Networks -- A Survey"

5 / 5 papers shown
Title
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand
Michael A. Lepori
Jack Merullo
Ellie Pavlick
CLL
29
6
0
28 May 2024
Can We Use Probing to Better Understand Fine-tuning and Knowledge
  Distillation of the BERT NLU?
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
Jakub Ho'scilowicz
Marcin Sowanski
Piotr Czubowski
Artur Janicki
23
2
0
27 Jan 2023
Emergent Linguistic Structures in Neural Networks are Fragile
Emergent Linguistic Structures in Neural Networks are Fragile
Emanuele La Malfa
Matthew Wicker
Marta Kiatkowska
15
1
0
31 Oct 2022
Literature review on vulnerability detection using NLP technology
Literature review on vulnerability detection using NLP technology
Jiajie Wu
37
14
0
23 Apr 2021
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
216
146
0
16 Mar 2020
1