Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Zadrozny, Wlodek"'
This study explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Clinical Practice Guidelines (CPGs). The outcomes causality extraction from Clinical Prac
Externí odkaz:
http://arxiv.org/abs/2407.10020
Autor:
Zadrozny, Wlodek W.
The ability to abstract, count, and use System~2 reasoning are well-known manifestations of intelligence and understanding. In this paper, we argue, using the example of the ``Look and Say" puzzle, that although deep neural networks can exhibit high
Externí odkaz:
http://arxiv.org/abs/2109.12755
The volume of scientific publications in organizational research becomes exceedingly overwhelming for human researchers who seek to timely extract and review knowledge. This paper introduces natural language processing (NLP) models to accelerate the
Externí odkaz:
http://arxiv.org/abs/2106.16102
Publikováno v:
In Natural Language Processing Journal March 2024 6
Autor:
Zadrozny, Wlodek W.
In the last couple of years there were a few attempts to apply topological data analysis to text, and in particular to natural language inference. A recent work by Tymochko et al. suggests the possibility of capturing `the notion of logical shape in
Externí odkaz:
http://arxiv.org/abs/2102.03874
Autor:
Zadrozny, Wlodek W.
This article contains a proposal to add coinduction to the computational apparatus of natural language understanding. This, we argue, will provide a basis for more realistic, computationally sound, and scalable models of natural language dialogue, sy
Externí odkaz:
http://arxiv.org/abs/2012.05715
Autor:
Demirhan, Hilmi1 demirhanh@uncw.edu, Zadrozny, Wlodek2 wzadrozn@charlotte.edu
Publikováno v:
BioMedInformatics. Mar2024, Vol. 4 Issue 1, p50-74. 25p.
Using natural language processing tools, we investigate the differences of recommendations in medical guidelines for the same decision problem -- breast cancer screening. We show that these differences arise from knowledge brought to the problem by d
Externí odkaz:
http://arxiv.org/abs/2007.00709
The scale and scope of scholarly articles today are overwhelming human researchers who seek to timely digest and synthesize knowledge. In this paper, we seek to develop natural language processing (NLP) models to accelerate the speed of extraction of
Externí odkaz:
http://arxiv.org/abs/2006.08904
While the strength of Topological Data Analysis has been explored in many studies on high dimensional numeric data, it is still a challenging task to apply it to text. As the primary goal in topological data analysis is to define and quantify the sha
Externí odkaz:
http://arxiv.org/abs/2003.13138