Unfortunately, identifying articles where the text quality should be improved is challenging: readability is subjective and the size of Wikipedia necessitates the use of automated approaches.
Aug 31, 2021 � In this article, we investigate using GPT-2, a neural language model, to identify poorly written text in Wikipedia by ranking documents by their perplexity.
In this article, we investigate using GPT-2, a neural language model, to identify poorly written text in Wikipedia by ranking documents by their perplexity. We�...
Experimental results demonstrate significant improvements in diversity and informativeness (defined as the numbers of nouns and verbs) of generated responses.
In this article, we investigate using GPT-2, a neural language model, to identify poorly written text in Wikipedia by ranking documents by their perplexity. We�...
Jun 3, 2024 � To bridge this gap, we develop a multilingual model to score the readability of Wikipedia articles. To train and evaluate this model, we create�...
(2021), "Can language models identify Wikipedia articles with readability and style issues?", in Proceedings of the 2021 ACM SIGIR International. Conference�...
Can language models identify Wikipedia articles with readability and style issues? Y Liu, A Medlar, D Glowacka. Proceedings of the 2021 ACM SIGIR International�...
Aug 11, 2024 � In this work, we examine the proficiency of LLMs in generating succinct survey articles specific to the niche field of NLP in computer science,�...
Mar 26, 2024 � In one such study, the authors built a classification model to classify Wikipedia articles into readable and non-readable articles [4]. The�...
