Papers with KEWE
Enriching Word Embeddings with Domain Knowledge for Readability Assessment (C18-1)
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| Challenge: | Existing word embedding models focus on syntactic or semantic relations of words, while ignoring reading difficulty. |
| Approach: | They propose a method which learns the word embedding for readability assessment . they extract the knowledge on word-level difficulty from three perspectives to construct a knowledge graph . |
| Outcome: | The proposed method is effective and potential, the authors show . they use the knowledge-enriched word embedding model on English and Chinese datasets . |