Papers with data insufficiency
Toward Fast and Accurate Neural Discourse Segmentation (D18-1)
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| Challenge: | Existing discourse segmenters rely on complicated hand-crafted features and are not practical in actual use. |
| Approach: | They propose an end-to-end neural segmenter based on BiLSTM-CRF framework that can segment texts fast and accurately using a large corpus. |
| Outcome: | The proposed model is significantly faster than previous methods while achieving state-of-the-art performance on the RST-DT corpus. |