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Analytical Methods for Interpretable Ultradense Word Embeddings

Analytical Methods for Interpretable Ultradense Word Embeddings

18 April 2019
Philipp Dufter
Hinrich Schütze
ArXivPDFHTML

Papers citing "Analytical Methods for Interpretable Ultradense Word Embeddings"

8 / 8 papers shown
Title
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSL
OOD
BDL
DRL
102
3
0
29 Oct 2024
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
29
82
0
13 Oct 2022
Interpreting Embedding Spaces by Conceptualization
Interpreting Embedding Spaces by Conceptualization
Adi Simhi
Shaul Markovitch
24
5
0
22 Aug 2022
A Survey on Gender Bias in Natural Language Processing
A Survey on Gender Bias in Natural Language Processing
Karolina Stañczak
Isabelle Augenstein
30
110
0
28 Dec 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
17
44
0
20 Oct 2021
Locating Language-Specific Information in Contextualized Embeddings
Locating Language-Specific Information in Contextualized Embeddings
Sheng Liang
Philipp Dufter
Hinrich Schütze
30
7
0
16 Sep 2021
Interpretable Word Embeddings via Informative Priors
Interpretable Word Embeddings via Informative Priors
Miriam Hurtado Bodell
Martin Arvidsson
Måns Magnusson
27
18
0
03 Sep 2019
Imparting Interpretability to Word Embeddings while Preserving Semantic
  Structure
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel
Ihsan Utlu
Furkan Şahinuç
H. Ozaktas
Aykut Kocc
29
14
0
19 Jul 2018
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