Natural language processing (NLP) is crucial in the current processing of data because it
takes into account many sources, formats, and purposes of data as well as information from …

This paper concerns analyses of virus droplet dynamics resulting from coughing events
within a confined environment using, as an example, a typical cruiser's cabin. It is of …

Abstract Background The Supreme Court of the United States'(SCOTUS) decision in Dobbs
v. Jackson Women's Health Organization overturned the Court's previous decision in Roe v …

Information about verb subcategorization frames (SCFs) is important to many tasks in natural
language processing (NLP) and, in turn, text mining. Biomedicine has a need for high …

Morphological re-inflection generation is one of the most challenging tasks in the natural
language processing (NLP) domain, especially with morphologically rich, low-resource …

This project proposes a framework that identifies high‐value disaster-based information from
social media to facilitate key decision-making processes during natural disasters. At present …

Unsupervised dialogue act modeling holds great promise for decreasing the development
time to build dialogue systems. Work to date has utilized manual annotation or a synthetic …

The recent trend toward the application of deep structured techniques has revealed the
limits of huge models in natural language processing. This has reawakened the interest in …

Indirect Supervision for the Determination and Structural Analysis of Nominal Compounds
Page 1 Indirect Supervision for the Determination and Structural Analysis of Nominal …

Automatic construction of machine-readable dictionary is a basic and challenging issue for
non-common language processing. In this paper, we address the unsupervised ensemble …