This paper provides an overview of how analyses of linguistic features in writing samples
provide a greater understanding of predictions of both text quality and writer development …

ChatGPT and similar generative AI models have attracted hundreds of millions of users and
have become part of the public discourse. Many believe that such models will disrupt society …

Background: Recently, ChatGPT and similar generative AI models have attracted hundreds
of millions of users and become part of the public discourse. Many believe that such models …

Narrative understanding involves capturing the author's cognitive processes, providing
insights into their knowledge, intentions, beliefs, and desires. Although large language …

" Automated scoring engines [...] require a careful balancing of the contributions of
technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The …

In our era of rapid technological advancement, the research landscape for writing assistants
has become increasingly fragmented across various research communities. We seek to …

Automated Evaluation of Writing – 50 Years and Counting Page 1 Proceedings of the 58th
Annual Meeting of the Association for Computational Linguistics, pages 7796–7810 July 5 - 10 …

Essay traits are attributes of an essay that can help explain how well written (or badly
written) the essay is. Examples of traits include Content, Organization, Language, Sentence …

In this paper, we introduce an important yet relatively unexplored NLP task called Semantic
Overlap Summarization (SOS), which entails generating a single summary from multiple …

For predicting and improving the quality of essays, text analytic metrics (surface, syntactic,
morphological, and semantic features) can be used to provide formative feedback to the …