Papers by Steven Layne
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation (N19-1)
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| Challenge: | a study of long documents that do not include short sections in their titles shows that they improve comprehension and speed . |
| Approach: | They propose to extract the most salient sentence and apply deletion-based compression to generate section titles in low-resource environments. |
| Outcome: | The proposed approach outperforms other methods in low-resource environments while outperforming other approaches. |