Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891244437> ?p ?o ?g. }
- W2891244437 abstract "Current lexical simplification approaches rely heavily on heuristics and corpus level features that do not always align with human judgment. We create a human-rated word-complexity lexicon of 15,000 English words and propose a novel neural readability ranking model with a Gaussian-based feature vectorization layer that utilizes these human ratings to measure the complexity of any given word or phrase. Our model performs better than the state-of-the-art systems for different lexical simplification tasks and evaluation datasets. Additionally, we also produce SimplePPDB++, a lexical resource of over 10 million simplifying paraphrase rules, by applying our model to the Paraphrase Database (PPDB)." @default.
- W2891244437 created "2018-09-27" @default.
- W2891244437 creator A5070905937 @default.
- W2891244437 creator A5072753988 @default.
- W2891244437 date "2018-01-01" @default.
- W2891244437 modified "2023-09-25" @default.
- W2891244437 title "A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification" @default.
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- W2891244437 doi "https://doi.org/10.18653/v1/d18-1410" @default.
- W2891244437 hasPublicationYear "2018" @default.
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