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20162022
most citedDelta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings

5 citations · 16 across the 9 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Ruminating Word Representations with Random Noised Masker

Hwiyeol Jo, Byoung-Tak Zhang

We introduce a training method for both better word representation and performance, which we call GROVER (Gradual Rumination On the Vector with maskERs). The method is to gradually…

cs.CL2019★ 5 cited

Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings

Hwiyeol Jo, Ceyda Cinarel

We propose a novel and simple method for semi-supervised text classification. The method stems from the hypothesis that a classifier with pretrained word embeddings always outperfo…