Papers by Guanfeng Liu
Leveraging Meta Information in Short Text Aggregation (P19-1)
Copied to clipboard
| Challenge: | Existing topic models infer topics based on word co-occurrence information, which results in degraded performance and degrades performance. |
| Approach: | They propose a generative model that aggregates short texts into clusters by leveraging the associated meta information. |
| Outcome: | The proposed model can generate more interpretable topics and document clusters. |