4:00 PM - 4:20 PM
[1N2-03] Learning Style-sensitive Word Vector via Unsupervised-manner
Keywords:NLP, unsupervised-learning, stylistic variation
We construct a novel style-sensitive word vector predicting the target word for giving nearby and wider contexts under the assumption that the style of all the words in an utterance is consistent.
We also introduce an evaluation dataset with human judgments on the stylistic similarity between word pairs.
Experimental results illustrate capturing the stylistic similarity significantly.