What is recorded here?
Learned distributed word representations jointly with a neural probabilistic language model to estimate word-sequence probabilities and share statistical strength across similar contexts.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact four-author 2003 JMLR paper. Results remain bounded to the architectures, datasets and comparisons reported, and the work does not absorb word2vec, recurrent language models, transformers or modern foundation models.
Read the original work
- JMLR full text of neural probabilistic language model
- Yoshua Bengio publication page for neural language model
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Yoshua Bengio; Réjean Ducharme; Pascal Vincent; Christian Jauvin
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: Canada
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English catalogue narrative
Bengio and colleagues: a neural probabilistic language model
Learned distributed word representations jointly with a neural probabilistic language model to estimate word-sequence probabilities and share statistical strength across similar contexts.
Scientific scope
The record is the exact four-author 2003 JMLR paper. Results remain bounded to the architectures, datasets and comparisons reported, and the work does not absorb word2vec, recurrent language models, transformers or modern foundation models.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yoshua Bengio; Réjean Ducharme; Pascal Vincent; Christian Jauvin
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.