The volume of scientific publications in organizational research becomes...
Using natural language processing tools, we investigate the differences ...
The scale and scope of scholarly articles today are overwhelming human
r...
While the strength of Topological Data Analysis has been explored in man...
In recent years, topological data analysis has been utilized for a wide ...
In this paper, we detail our submission to the 2019, 7th year, BioASQ
co...
In recent years, emotion detection in text has become more popular due t...
Word embeddings are one of the most useful tools in any modern natural
l...
Topological Data Analysis (TDA) is the collection of mathematical tools ...
In recent years, emotion detection in text has become more popular due t...
We introduce a new formal model -- based on the mathematical construct o...
Text representation using neural word embeddings has proven efficacy in ...
Online job boards are one of the central components of modern recruitmen...
We introduce a formal distinction between contradictions and disagreemen...
This paper advances the state of the art in text understanding of medica...
Explicit concept space models have proven efficacy for text representati...
Mined Semantic Analysis (MSA) is a novel concept space model which emplo...
The objective of the project is to design and run a system similar to Wa...
We present a non-vacuous definition of compositionality. It is based on ...