Papers with neural readability ranking model
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification (D18-1)
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| Challenge: | Current lexical simplification approaches rely on heuristics and corpus level features that do not align with human judgment. |
| Approach: | They propose a human-rated word-complexity lexicon and a neural readability ranking model that uses human ratings to measure the complexity of any given word or phrase. |
| Outcome: | The proposed model performs better than state-of-the-art models for lexical simplification tasks and evaluation datasets. |