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Found 7 papers, 2 papers with code
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices
Electronic patient records (EPRs) produce a wealth of data but contain significant missing information.
An Informational Space Based Semantic Analysis for Scientific Texts
This paper introduces computational methods for semantic analysis and the quantifying the meaning of short scientific texts.
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles
We show that an informational approach to representing the meaning of a text has offered a way to effectively predict the scientific impact of research papers.
Principal Components of the Meaning
In this paper we argue that (lexical) meaning in science can be represented in a 13 dimension Meaning Space.
Informational Space of Meaning for Scientific Texts
The LSC is a scientific corpus of 1, 673, 350 abstracts and the LScDC is a scientific dictionary which words are extracted from the LSC.
LScDC-new large scientific dictionary
In this paper, we present a scientific corpus of abstracts of academic papers in English -- Leicester Scientific Corpus (LSC).
Automatic Short Answer Grading and Feedback Using Text Mining Methods
The main novelty in this paper is that we design a model to predict marks based on the similarities between the student answers and the model answer.
