English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

LSTMs have become a basic building block for many deep NLP models. In recentyears, many improvements and variations have been proposed for deep sequencemodels in general, and LSTMs in particular. We propose and analyze a series ofaugmentations and modifications to LSTM networks resulting in improvedperformance for text classification datasets. We observe compoundingimprovements on traditional LSTMs using Monte Carlo test-time model averaging,average pooling, and residual connections, along with four other suggestedmodifications. Our analysis provides a simple, reliable, and high qualitybaseline model.

A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs