10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CL2017★ 10 cited
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese
Yuanzhi Ke, Masafumi Hagiwara
The character vocabulary can be very large in non-alphabetic languages such as Chinese and Japanese, which makes neural network models huge to process such languages. We explored a…
cs.CL2017
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation
Yuanzhi Ke, Masafumi Hagiwara
There have been some works that learn a lexicon together with the corpus to improve the word embeddings. However, they either model the lexicon separately but update the neural net…