Abstract / Description of output
Cross-lingual methods can bring the benefits of genre classification to languages which lack genre-annotated training data. However, prior work in this field has been evaluated on coarse genres only. To predict fine-grained genres across languages, we propose a label propagation method, which combines separate sets of features. The results are promising, as the approach outperforms most baselines in our experiments.
| Original language | English |
|---|---|
| Number of pages | 5 |
| Publication status | Published - 7 Dec 2012 |
| Event | xLite: Cross-Lingual Technologies (NIPS 2012 Workshop) - Lake Tahoe, NV, Harrahs & Harveys, United States Duration: 7 Dec 2012 → 8 Dec 2012 |
Workshop
| Workshop | xLite: Cross-Lingual Technologies (NIPS 2012 Workshop) |
|---|---|
| Country/Territory | United States |
| City | Harrahs & Harveys |
| Period | 7/12/12 → 8/12/12 |
Keywords / Materials (for Non-textual outputs)
- fine-grained cross-lingual genre classification
- label propagation
- genre-annotated training data
- fine-grained genre
- prior work
- cross-lingual method
- genre classification
- separate set
- coarse genre
- label propagation method