Papers › Investigating Capsule Networks with Dynamic Routing for Text Classification
Investigating Capsule Networks with Dynamic Routing for Text Classification
Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Suofei Zhang, Zhou Zhao
In this study, we explore capsule networks with dynamic routing for text classification. We propose three strategies to stabilize the dynamic routing process to alleviate the disturbance of some noise capsules which may contain "background" information or have not been successfully trained. A series of experiments are conducted with capsule networks on six text classification benchmarks. Capsule networks achieve state of the art on 4 out of 6 datasets, which shows the effectiveness of capsule networks for text classification. We additionally show that capsule networks exhibit significant improvement when transfer single-label to multi-label text classification over strong baseline methods. To the best of our knowledge, this is the first work that capsule networks have been empirically investigated for text modeling.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Sentiment Analysis | CR | Capsule-B | Accuracy | 85.1 | #8 of 9 | Archive leaderboard | report |
| Sentiment Analysis | MR | Capsule-B | Accuracy | 82.3 | #7 of 19 | Archive leaderboard | report |
| Sentiment Analysis | SST-2 Binary classification | Capsule-B | Accuracy | 86.8 | #76 of 87 | Archive leaderboard | report |
| Subjectivity Analysis | SUBJ | Capsule-B | Accuracy | 93.8 | #11 of 19 | Archive leaderboard | report |
| Text Classification | AG News | Capsule-B | Error | 7.4 | #12 of 24 | Archive leaderboard | report |
| Text Classification | TREC-6 | Capsule-B | Error | 7.2 | #15 of 19 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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