no code implementations • EMNLP 2021 • Kyoung-Rok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Heecheol Seo
The semantic matching capabilities of neural information retrieval can ameliorate synonymy and polysemy problems of symbolic approaches.
no code implementations • WS 2018 • Kyoung-Rok Jang, Sung-Hyon Myaeng, Sang-Bum Kim
In this paper, we propose a method of calibrating a word embedding, so that the semantic it conveys becomes more relevant to the context.
no code implementations • WS 2017 • Kyoung-Rok Jang, Sung-Hyon Myaeng
In this paper, we introduce a method of identifying the components (i. e. dimensions) of word embeddings that strongly signifies properties of a word.