Search Results for author: Jihyeok Kim

Found 3 papers, 2 papers with code

Retrieval-Augmented Controllable Review Generation

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.

Attribute Descriptive +3

Categorical Metadata Representation for Customized Text Classification

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)

General Classification Sentence +5

Cold-Start Aware User and Product Attention for Sentiment Classification

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.

Classification General Classification +2

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