The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Neural Probabilistic Language Models
Overview
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Citations
Cites
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Training Products of Experts by Minimizing Contrastive Divergence
Hinton, G. E. (2002) · Neural Computation · doi:10.1162/089976602760128018 · Cited by 4,879 · cited 1×
“A variant of the above neural network can be interpreted as an energy minimization model following Hinton’s work on products of experts [ Hinton, 2000 ].”
(1992) · doi:10.5555/176313.176316 · Cited by 2,892
Boosting a Weak Learning Algorithm by Majority
Freund, Y. (1995) · Information and Computation · doi:10.1006/inco.1995.1136 · Cited by 1,674
Taking on the curse of dimensionality in joint distributions using neural networks
Bengio, S., & Bengio, Y. (2000) · IEEE Transactions on Neural Networks · doi:10.1109/72.846725 · Cited by 115
Self-citation
Cited by
Distributed Representations of Sentences and Documents
Le, Q. V., & Mikolov, T. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1405.4053 · Cited by 4,934
Deep visual-semantic alignments for generating image descriptions
Karpathy, A., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298932 · Cited by 4,902
Machine Learning Methods That Economists Should Know About
Athey, S., & Imbens, G. W. (2019) · Annual Review of Economics · doi:10.1146/annurev-economics-080217-053433 · Cited by 1,163
Deep Visual-Semantic Alignments for Generating Image Descriptions
Karpathy, A., & Fei-Fei, L. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2598339 · Cited by 1,048
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Norouzi, M., Mikolov, T., Bengio, S., Singer, Y., Shlens, J., Frome, A., Corrado, G. S., & Dean, J. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1312.5650 · Cited by 710
Metadata
- Authors
- Bengio, Y., Schwenk, H., Senécal, J.-S., Morin, F., & Gauvain, J.-L.
- Venue
- Studies in Fuzziness and Soft Computing
- Publisher
- Springer-Verlag
- Published
- 2006-02-27
- Pages
- 137-186
- OpenAlex
- W100623710
- Cited by
- 540
- References
- 5
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Neural Probabilistic Language Models. https://app.cochat.ai/papers/10.1007/10985687_6
- The paper
- Bengio, Y., Schwenk, H., Senécal, J.-S., Morin, F., & Gauvain, J.-L. (2006). Neural Probabilistic Language Models. Studies in Fuzziness and Soft Computing. https://doi.org/10.1007/10985687_6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
