SARI (EASSE>=0.2.1): 42.53BLEU: 78.17FKGL: 7.60
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Text Simplification
Text Simplification is the task of reducing the complexity of the vocabulary and sentence structure of text while retaining its original meaning, with the goal of improving readability and understanding. Simplification has a variety of important societal applications, for example increasing accessibility for those with cognitive disabilities such as aphasia, dyslexia, and autism, or for non-native speakers and children with reading difficulties.
<span class="description-source">Source: Multilingual Unsupervised Sentence Simplification</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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Dataset기록된 모델 예시MetricPaperCode
GPT-175B (15 SARI-selected examples, random ordering)
SARI (EASSE>=0.2.1): 47.94BLEU: 73.92FKGL: 7.73
논문
코드
long-mBART (trained on DEplain-APA-doc)
SARI (EASSE>=0.2.1): 44.56BLEU: 38.136BertScore (Precision): 0.598FRE (Flesch Reading Ease): 65.4
논문
코드
long-mBART (trained on DEplain-APA-doc & DEplain-web-doc)
SARI (EASSE>=0.2.1): 49.745BLEU: 23.37BertScore (Precision): 0.445FRE (Flesch Reading Ease): 57.95
논문
코드
mBART (trained on DEplain-APA-sent & DEplain-web-sent)
SARI (EASSE>=0.2.1): 34.904BLEU: 28.506BertScore (Precision): 0.64FRE (Flesch Reading Ease): 62.669
논문
코드
데이터셋
11개논문
SARI (EASSE>=0.2.1): 42.32FKGL: 7.74QuestEval (Reference-less, BERTScore): 0.66
SARI (EASSE>=0.2.1): 41.38BLEU: 72.53
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
SARI (EASSE>=0.2.1): 38.22BLEU: 86.69
SARI (EASSE>=0.2.1): 40.45
SARI (EASSE>=0.2.1): 37.85BLEU: 73.62
SARI (EASSE>=0.2.1): 43.46BLEU: 79.83FKGL: 9.33
SARI (EASSE>=0.2.1): 39.56BLEU: 73.08*
SARI (EASSE>=0.2.1): 38.04
SARI (EASSE>=0.2.1): 41.46
BLEU-4: 90.81METEOR: 57.58ROUGE-2: 83.36
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