In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…

This paper takes a system dynamic approach to study homogeneous texts where the dynamics of the lexical richness of such texts over time are of the focal concern. It is hypothesized that the progress of the lexical complexity is driven by how far away this process is from the maximum level of complexity, while is subject to the fluctuations due to…

Text classification typically performs best with large training sets, but short texts are very common on the World Wide Web. Can we use resampling and data augmentation to construct larger texts using similar terms? Several current methods exist for working with short text that rely on using external data and contexts, or workarounds. Our focus is…

Since the publication of the book Genre Analysis (CUP) by Swales (1990), many studies have focused on the study of the rhetorical organisation of different sections of research articles (RAs). The organisation of RA introductions has received most of the attention. However, the focus has generally been on the structure of introductions without…

Reviewing literature reveals that identifying generic structure of research articles (RAs) in different fields of study, especially ESP, has received much attention. The major purpose behind such trends of research has been raising researchers' awareness of the common conventions in writing RAs. Along with this universal trend, a lot of genre…

Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…

Genre analysis is today's dominant approach for textual analysis, especially in the ESP learning and teaching profession. Adopting this approach, the present study compares the Introduction chapters of MA theses in ELT (English Language Teaching) written by Thai students to those written by American university students based on the move-step…

This dissertation presents a new tool for exploratory text analysis that attempts to improve the experience of navigating and exploring text and its metadata. The design of the tool was motivated by the unmet need for text analysis tools in the humanities and social sciences. In these fields, it is common for scholars to have hundreds or thousands…

Presents a statistical model for predicting the performance of an automated keywording system on each document it keywords. Methods of text analysis are described, including statistical methods, discriminant analysis, linguistic approaches, and artificial intelligence; performance measures are discussed; and regression models are explained. (16…