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Sora Ohashi

2 accepted papers

2021

Distinct Label Representations for Few-Shot Text Classification

ACL 2021short

Few-shot text classification aims to classify inputs whose label has only a few examples. Previous studies overlooked the semantic relevance between label representations. Therefore, they are easily confused by labels that are relevant. To address this problem, we propose a method that generates dis…

2020

Tiny Word Embeddings Using Globally Informed Reconstruction

COLING 2020main

We reduce the model size of pre-trained word embeddings by a factor of 200 while preserving its quality. Previous studies in this direction created a smaller word embedding model by reconstructing pre-trained word representations from those of subwords, which allows to store only a smaller number of…