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Cited by 1,566

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

10.1162/153244303322533223

·2000·CrossRef Listing of Deleted DOIs

Abstract

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Citations

Cites

Show all 1 references

Research works printed but not linked: 28

  1. D. Baker and A. McCallum. Distributional clustering of words for text classification. In SIGIR'98, 1998. · DOI · Paper page
  2. J.R. Bellegarda. A latent semantic analysis framework for large-span language modeling. In Proceedings of Eurospeech 97, pages 1451-1454, Rhodes, Greece, 1997. · doi:10.21437/eurospeech.1997-421
  3. S. Bengio and Y. Bengio. Taking on the curse of dimensionality in joint distributions using neural networks. IEEE Transactions on Neural Networks, special issue on Data Mining and Knowledge Discovery, 11(3):550-557, 2000a. · DOI · Paper page
  4. Y. Bengio and S. Bengio. Modeling high-dimensional discrete data with multi-layer neural networks. In S. A. Solla, T. K. Leen, and K-R. Muller, editors, Advances in Neural Information Processing Systems, volume 12, pages 400-406. MIT Press, 2000b.
  5. Y. Bengio and J-S. Senecal. Quick training of probabilistic neural nets by importance sampling. In AISTATS, 2003.
  6. Berger A., 1996, Computational Linguistics, 22, 39
  7. Brown P.F., 1992, Computational Linguistics, 18, 467
  8. 10.1006/csla.1999.0128 · DOI · Paper page
  9. 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9 · DOI · Paper page
  10. 10.1016/0364-0213(90)90002-E · doi:10.1016/0364-0213(90)90002-e · Paper page
  11. C. Fellbaum. WordNet: An Electronic Lexical Database. MIT Press, 1998. · DOI · Paper page
  12. J .Goodman. A bit of progress in language modeling. Technical Report MSR-TR-2001-72, Microsoft Research, 2001. · DOI · Paper page
  13. Hinton G.E., 1986, Amherst, 1986
  14. K.J. Jensen and S. Riis. Self-organizing letter code-book for text-to-phoneme neural network model. In Proceedings ICSLP, 2000. · doi:10.21437/icslp.2000-540
  15. Katz S.M., 1987, AS, 35, 400
  16. R. Kneser and H. Ney. Improved backing-off for m-gram language modeling. In International Conference on Acoustics, Speech and Signal Processing, pages 181-184, 1995. · DOI · Paper page
  17. Y. LeCun, L. Bottou, G.B. Orr, and K.R. Muller. Efficient backprop. In G.B. Orr and K.R. Muller, editors, Neural Networks: Tricks of the Trade, pages 9-50. Springer, 1998. · DOI · Paper page
  18. 10.1016/0364-0213(91)80002-M · DOI · Paper page
  19. H. Ney and R. Kneser. Improved clustering techniques for class-based statistical language modelling. In European Conference on Speech Communication and Technology (Eurospeech), pages 973-976, Berlin, 1993. · DOI
  20. T.R. Niesler, E.W.D. Whittaker, and P.C. Woodland. Comparison of part-of-speech and automatically derived category-based language models for speech recognition. In International Conference on Acoustics, Speech and Signal Processing, pages 177-180, 1998. · DOI
  21. A. Paccanaro and G.E. Hinton. Extracting distributed representations of concepts and relations from positive and negative propositions. In Proceedings of the International Joint Conference on Neural Network, IJCNN'2000, Como, Italy, 2000. IEEE, New York. · DOI
  22. F. Pereira, N. Tishby, and L. Lee. Distributional clustering of english words. In 30th Annual Meeting of the Association for Computational Linguistics, pages 183-190, Columbus, Ohio, 1993. · DOI · Paper page
  23. S. Riis and A. Krogh. Improving protein secondary structure prediction using structured neural networks and multiple sequence profiles. Journal of Computational Biology, pages 163-183, 1996. · DOI · Paper page
  24. 10.1109/72.478398 · DOI
  25. H. Schutze. Word space. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, Advances in Neural Information Processing Systems 5, pages pp. 895-902, San Mateo CA, 1993. Morgan Kaufmann.
  26. H. Schwenk and J-L. Gauvain. Connectionist language modeling for large vocabulary continuous speech recognition. In International Conference on Acoustics, Speech and Signal Processing, pages 765-768, Orlando, Florida, 2002. · DOI
  27. A. Stolcke. SRILM - an extensible language modeling toolkit. In Proceedings of the International Conference on Statistical Language Processing, Denver, Colorado, 2002. · DOI · Paper page
  28. W. Xu and A. Rudnicky. Can artificial neural network learn language models. In International Conference on Statistical Language Processing, pages M1-13, Beijing, China, 2000. · DOI

Cited by

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Metadata

Venue
CrossRef Listing of Deleted DOIs
Published
2000
Volume
1
ISSN
0003-6951 (ISSN-L)
OpenAlex
W2132339004
Cited by
1,566
References
1
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 10.1162/153244303322533223. https://app.cochat.ai/papers/10.1162/153244303322533223
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10.1162/153244303322533223. (2000). CrossRef Listing of Deleted DOIs. https://doi.org/10.1162/153244303322533223

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.