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Efficient, Compositional, Order-sensitive n-gram Embeddings

Authors: Adam Poliak; Benjamin Van Durme; M. Patrick Martin; Pushpendre Rastogi;

Efficient, Compositional, Order-sensitive n-gram Embeddings

Abstract

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

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Keywords

word embeddings, data, phrase embeddings

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download
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
14
Average
Top 10%
Top 10%
6
1
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