4 citations · 10 across the 4 of their papers we have counts for
7 papers
An Informational Space Based Semantic Analysis for Scientific Texts
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley +1
One major problem in Natural Language Processing is the automatic analysis and representation of human language. Human language is ambiguous and deeper understanding of semantics a…
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles
Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1
Can the analysis of the semantics of words used in the text of a scientific paper predict its future impact measured by citations? This study details examples of automated text cla…
Principal Components of the Meaning
Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1
In this paper we argue that (lexical) meaning in science can be represented in a 13 dimension Meaning Space. This space is constructed using principal component analysis (singular…
Informational Space of Meaning for Scientific Texts
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
In Natural Language Processing, automatic extracting the meaning of texts constitutes an important problem. Our focus is the computational analysis of meaning of short scientific t…
LScDC-new large scientific dictionary
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
In this paper, we present a scientific corpus of abstracts of academic papers in English -- Leicester Scientific Corpus (LSC). The LSC contains 1,673,824 abstracts of research arti…
Automatic Short Answer Grading and Feedback Using Text Mining Methods
Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1
Automatic grading is not a new approach but the need to adapt the latest technology to automatic grading has become very important. As the technology has rapidly became more powerf…