The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
How to Generate a Good Word Embedding
Abstract
The authors analyze three critical components in training word embeddings: model, corpus, and training parameters. They systematize existing neural-network-based word embedding methods and experimentally compare them using the same corpus. They then evaluate each word embedding in three ways: analyzing its semantic properties, using it as a feature for supervised tasks, and using it to initialize neural networks. They also provide several simple guidelines for training good word embeddings.
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Citations
Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
A unified architecture for natural language processing: deep neural networks with multitask learning
Collobert, R., & Weston, J. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08 · doi:10.1145/1390156.1390177 · Cited by 5,058
Harris, Z. S. (1954) · WORD · doi:10.1080/00437956.1954.11659520 · Cited by 4,807
Cited by
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Basiri, M. E., Nemati, S., Abdar, M., Cambria, E., & Acharya, U. R. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2020.08.005 · Cited by 745
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
Luo, L., Yang, Z., Yang, P., Zhang, Y., Wang, L., Lin, H., & Wang, J. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx761 · Cited by 417
Gene2Vec: Distributed Representation of Genes Based on Co-Expression
Du, J., Jia, P., Dai, Y., Tao, C., Zhao, Z., & Zhi, D. (2018) · doi:10.1101/286096 · Cited by 204
Yang, T., Jiang, Z., Liu, P., Yang, Q., & Wang, W. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110949 · Cited by 21
Metadata
- Authors
- Lai, S., Liu, K., He, S., & Zhao, J.
- Venue
- IEEE Intelligent Systems
- Published
- 2016-11
- Volume
- 31
- Issue
- 6
- Pages
- 5-14
- ISSN
- 1541-1672 (ISSN-L)
- OpenAlex
- W947140380
- Cited by
- 312
- References
- 4
- FWCI
- 36.52
- Type
- journal article
- Language
- en
- Open access
- closed
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