Papers by Daiki Nishihara

2 papers
Word Complexity Estimation for Japanese Lexical Simplification (2020.lrec-1)

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Challenge: Experimental results show that the proposed method achieves the highest performance of Japanese lexical simplification.
Approach: They propose a large-scale word complexity lexicon, a synonym lexicone and a toolkit for developing and benchmarking Japanese lexical simplification systems.
Outcome: The proposed method achieves the highest performance of Japanese lexical simplification.
Controllable Text Simplification with Lexical Constraint Loss (P19-2)

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Challenge: Existing models that only consider the sentence level generate words beyond the target level.
Approach: They propose a method to control the level of a sentence in a text simplification task . they add the target grade level as input and weight words in the loss function .
Outcome: The proposed method improves both BLEU and SARI scores and achieves aggressive rewriting.

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