Papers by Junbum Cha
The Fallacy of Echo Chambers: Analyzing the Political Slants of User-Generated News Comments in Korean Media (D19-55)
Copied to clipboard
| Challenge: | a new study analyzes the political slants of user comments on partisan media in Korea . the classifiers detect political leaning on conservative and liberal news outlets . |
| Approach: | They built a BERT-based classifier to detect political leaning of short comments . they found a high presence of conservative bias on conservative and liberal news outlets . |
| Outcome: | The proposed classifier produced an F1 score of 0.83 for 21.6K comments . it shows that more liberals comment on stories resonating with their political perspectives . |
Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model (2020.coling-main)
Copied to clipboard
| Challenge: | Existing approaches to character-level language modeling have suffered from high learning complexity caused by inherently long character sequences. |
| Approach: | They propose a method that efficiently reduces the computational cost and parameter size of Transformer by splitting feature space into multiple groups, factorizing the calculation paths, and reducing computations for the group interaction. |
| Outcome: | The proposed model reduces the computational cost and parameter size of Transformer on two benchmark tasks, enwik8 and text8, and it performs well. |