no code implementations • COLING 2020 • Jihyeok Kim, Seungtaek Choi, Reinald Kim Amplayo, Seung-won Hwang
We thus propose to additionally leverage references, which are selected from a large pool of texts labeled with one of the attributes, as textual information that enriches inductive biases of given attributes.
2 code implementations • TACL 2019 • Jihyeok Kim, Reinald Kim Amplayo, Kyungjae Lee, Sua Sung, Minji Seo, Seung-won Hwang
The performance of text classification has improved tremendously using intelligently engineered neural-based models, especially those injecting categorical metadata as additional information, e. g., using user/product information for sentiment classification.
Ranked #4 on Sentiment Analysis on User and product information (Yelp 2013 (Acc) metric)
1 code implementation • ACL 2018 • Reinald Kim Amplayo, Jihyeok Kim, Sua Sung, Seung-won Hwang
The use of user/product information in sentiment analysis is important, especially for cold-start users/products, whose number of reviews are very limited.
Ranked #4 on Sentiment Analysis on User and product information