Embedding Probing is a methodological framework in natural language processing that systematically interrogates pre-trained word embeddings to uncover and evaluate the presence of linguistic and semantic information encoded within their vector representations.
14
Publications
1.5K
Citations
34
Authors
24
Institutions
Publications per year
2017–2026
14
Parents
Publications
14
Probing Biomedical Embeddings from Language Models
Qiao Jin, Bhuwan Dhingra, William Cohen et al. · 2019 · 112 citations · Full text
1–5 of 14
Authors
34
- AC
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- GL
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- CJ
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- DK
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- LB
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1–5 of 34
Institutions
24
Saarland University
Saarbrücken, Germany
2 h-index
8 publications
132 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
477 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
362 citations
Le Mans Université
Le Mans, France
2 h-index
2 publications
872 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
6 publications
506 citations
Institute for Computational Linguistics “A. Zampolli”
Pisa, Italy
1 h-index
2 publications
142 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
29 citations
Huawei Technologies (United Kingdom)
Basingstoke, United Kingdom
1 h-index
2 publications
100 citations
1–8 of 24
Venues
- arXiv (Cornell University)
Repository · 3 publications · 322 citations
3
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- Research at the University of Copenhagen (University of Copenhagen)
Repository · 1 publications · 50 citations
1
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- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Conference · 1 publications · 32 citations
1
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- 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
1 publications · 59 citations
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- IEEE/ACM Transactions on Audio Speech and Language Processing
TASLP · 1 publications · 167 citations
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