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This is the companion data for the paper, `"Efficient, Compositional, Order-Sensitive n-gram Embeddings, Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme, EACL(2017).` For more details see https://www.cs.jhu.edu/~apoliak1/papers/ECO--EACL-2017.pdf @inproceedings{Poliak:2017EACL, Title = {Efficient, Compositional, Order-sensitive n-gram Embeddings}, Author = {Poliak, Adam and Rastogi, Pushpendre and Martin, M. Patrick and Van Durme, Benjamin}, booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics}, Year = {2017}, Publisher = {Association for Computational Linguistics}, location = {Valencia, Spain} } This data contains individual skip-embeddings created and the English Wikipedia data used to generate the embeddings. dim100_c10.tar.gz is missing the skip-embeddings 3 positions to the right of a given word. They can be downloaded from http://www.cs.jhu.edu/~apoliak1/data/eco/cocoon.mincount~5.dim~100.window~3.dim_divide~10.embeds.gz
word embeddings, data, phrase embeddings
word embeddings, data, phrase embeddings
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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