21 citations · 116 across the 39 of their papers we have counts for
4 papers · 1 filter
Autoencoding Improves Pre-trained Word Embeddings
Masahiro Kaneko, Danushka Bollegala
Prior work investigating the geometry of pre-trained word embeddings have shown that word embeddings to be distributed in a narrow cone and by centering and projecting using princi…
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Masato Mita, Shun Kiyono, Masahiro Kaneko +2
Existing approaches for grammatical error correction (GEC) largely rely on supervised learning with manually created GEC datasets. However, there has been little focus on verifying…
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
Masahiro Kaneko, Masato Mita, Shun Kiyono +2
This paper investigates how to effectively incorporate a pre-trained masked language model (MLM), such as BERT, into an encoder-decoder (EncDec) model for grammatical error correct…
Towards Multimodal Simultaneous Neural Machine Translation
Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa +1
Simultaneous translation involves translating a sentence before the speaker's utterance is completed in order to realize real-time understanding in multiple languages. This task is…