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Natural Language Processing (Almost) from Scratch
Abstract
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity rec...
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Citations
Cited by
Deep Contextualized Word Representations
Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1202 · Cited by 11,983
Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023) · ACM Computing Surveys · doi:10.1145/3560815 · Cited by 4,361
“With the advent of neural network models for NLP, salient features were learned jointly with the training of the model itself [6, 16], and hence focus shifted to architecture engineering, where inductive bias was rather provided through the design of a suitable network architecture conducive to learning such features…”
BackgroundRecent Trends in Deep Learning Based Natural Language Processing [Review Article]
Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2018.2840738 · Cited by 2,921
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
Zhou, Z., Chen, X., Li, E., Zeng, L., Luo, K., & Zhang, J. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2918951 · Cited by 2,455
CTRL: A Conditional Transformer Language Model for Controllable Generation
Keskar, N. S., McCann, B., Varshney, L. R., Xiong, C., & Socher, R. (2019) · arXiv · doi:10.48550/arxiv.1909.05858 · Cited by 751
Metadata
- Authors
- CollobertRonan, WestonJason, BottouLéon, KarlenMichael, KavukcuogluKoray, & KuksaPavel
- Venue
- Journal of Machine Learning Research
- Publisher
- The MIT Press
- Published
- 2011-11-01
- ISSN
- 1532-4435 (ISSN-L)
- DOI
- 10.5555/1953048.2078186
- OpenAlex
- W2997617958
- Cited by
- 306
- References
- 0
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Natural Language Processing (Almost) from Scratch. https://app.cochat.ai/papers/10.5555/1953048.2078186
- The paper
- CollobertRonan, WestonJason, BottouLéon, KarlenMichael, KavukcuogluKoray, & KuksaPavel. (2011). Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research. https://doi.org/10.5555/1953048.2078186
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.
