[HTML][HTML] An automated essay scoring systems: a systematic literature review
D Ramesh, SK Sanampudi - Artificial Intelligence Review, 2022 - Springer
Assessment in the Education system plays a significant role in judging student performance.
The present evaluation system is through human assessment. As the number of teachers' …
The present evaluation system is through human assessment. As the number of teachers' …
Controllable sentence simplification
Text simplification aims at making a text easier to read and understand by simplifying
grammar and structure while keeping the underlying information identical. It is often …
grammar and structure while keeping the underlying information identical. It is often …
The (un) suitability of automatic evaluation metrics for text simplification
In order to simplify sentences, several rewriting operations can be performed, such as
replacing complex words per simpler synonyms, deleting unnecessary information, and …
replacing complex words per simpler synonyms, deleting unnecessary information, and …
Data-driven sentence simplification: Survey and benchmark
Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read
and understand. In order to do so, several rewriting transformations can be performed such …
and understand. In order to do so, several rewriting transformations can be performed such …
ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations
In order to simplify a sentence, human editors perform multiple rewriting transformations:
they split it into several shorter sentences, paraphrase words (ie replacing complex words or …
they split it into several shorter sentences, paraphrase words (ie replacing complex words or …
MUSS: Multilingual unsupervised sentence simplification by mining paraphrases
Progress in sentence simplification has been hindered by a lack of labeled parallel
simplification data, particularly in languages other than English. We introduce MUSS, a …
simplification data, particularly in languages other than English. We introduce MUSS, a …
Making science simple: Corpora for the lay summarisation of scientific literature
Lay summarisation aims to jointly summarise and simplify a given text, thus making its
content more comprehensible to non-experts. Automatic approaches for lay summarisation …
content more comprehensible to non-experts. Automatic approaches for lay summarisation …
Text simplification by tagging
Edit-based approaches have recently shown promising results on multiple monolingual
sequence transduction tasks. In contrast to conventional sequence-to-sequence (Seq2Seq) …
sequence transduction tasks. In contrast to conventional sequence-to-sequence (Seq2Seq) …
Controllable sentence simplification with a unified text-to-text transfer transformer
Recently, a large pre-trained language model called T5 (A Unified Text-to-Text Transfer
Transformer) has achieved state-of-the-art performance in many NLP tasks. However, no …
Transformer) has achieved state-of-the-art performance in many NLP tasks. However, no …
Revisiting non-English text simplification: A unified multilingual benchmark
Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …
frontier of English Automatic Text Simplification (ATS) research. However, less work has …