Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

Deep learning (DL) is increasingly viewed as a foundational methodology for advancing
Artificial Intelligence (AI). However, its interpretability remains limited, and it often …

To facilitate research on text generation, this paper presents a comprehensive and unified
library, TextBox 2.0, focusing on the use of pre-trained language models (PLMs). To be …

Modern neural language models (LMs) are powerful tools for modeling human sentence
production and comprehension, and their internal representations are remarkably well …

Most natural language models and tools are restricted to one language, typically English.
For researchers in the behavioral sciences investigating languages other than English, and …

It has been shown that multilingual transformer models are able to predict human reading
behavior when fine-tuned on small amounts of eye tracking data. As the cumulated …

We present DOPA METER, a tool suite for the metrical investigation of written language, that
provides diagnostic means for its division into discourse categories, such as registers …

The evaluation methodology of natural language generation (” NLG”= systems generating
text based on some kind of input) is currently in a state of a hopefully productive confusion …