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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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Cited by
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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
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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
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Learned in Translation: Contextualized Word Vectors
McCann, B., Bradbury, J., Xiong, C., & Socher, R. (2017) · arXiv · doi:10.48550/arxiv.1708.00107 · Cited by 572
“part-of-speech tagging [Collobert et al., 2011], named entity recognition [Pennington et al.”
BackgroundLiu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2021) · arXiv · doi:10.48550/arxiv.2107.13586 · Cited by 4,352
“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…”
BackgroundHolistic Evaluation of Language Models
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Privacy Risks of Securing Machine Learning Models against Adversarial Examples
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Naseem, U., Razzak, I., Khan, S. K., & Prasad, M. (2021) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3434237 · Cited by 194
Improving Deep Learning for HAR with Shallow LSTMs
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Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search
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A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.
Singh, G., Marshall, I. J., Thomas, J., Shawe-Taylor, J., & Wallace, B. C. (2017) · Proceedings of the 2017 ACM on Conference on Information and Knowledge Management · doi:10.1145/3132847.3132989 · Cited by 11
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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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.
