Controllable Text Simplification Using Lexically Constrained Decoding Based on Edit Operation Prediction
نویسندگان
چکیده
テキスト平易化の難易度制御は,目標難易度に応じて文を平易化することで，言語学習支援に貢献する技術である．このタスクに対する既存手法には，入力を大幅に言い換える学習が困難である問題と柔軟な文生成が難しい問題がある．提案手法では，平易な出力文に出現させる単語の制約と，出現させない単語の制約を作成し，それらによって難易度を制御しつつテキスト平易化を行う．制約は，文中の各単語に対する編集操作予測，難易度判定，難解な単語の平易な言い換えにより作成する．提案手法は，正・負の制約を用いることで言い換えを促進しつつ，系列変換モデルで柔軟に文を生成するため，既存手法の問題を解決できる．評価実験によって，提案手法が文法性を損なったり，文の意味を大幅に欠落させることなく目標とする難易度に応じたテキスト平易化を実現できることを確認した．
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ژورنال
عنوان ژورنال: Shizen gengo shori
سال: 2023
ISSN: ['1340-7619', '2185-8314']
DOI: https://doi.org/10.5715/jnlp.30.991