Enriching Word Vectors with Subword Information is a research paper published in Transactions of the Association for Computational Linguistics (2017). On theSindex it has a DataRank of 1.4. It has been cited 9,704 times.
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Base Score Contribution
1.4
From this paper's citation signal
Citation Network Contribution
0
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This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →FWCI
866.34
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Polarizations in Static Word Embeddings: Investigating Bias in Marginalized Dialects of Portuguese
Additional file 1 of A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging
Additional file 1 of A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging
Additional file 1 of Exploiting document graphs for inter sentence relation extraction
Additional file 1 of Exploiting document graphs for inter sentence relation extraction
Additional file 2 of Exploiting document graphs for inter sentence relation extraction
Additional file 2 of Exploiting document graphs for inter sentence relation extraction
Additional file 10 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 10 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 1 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 1 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 2 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 2 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 3 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 3 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 4 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 4 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 5 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 5 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Additional file 6 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE