[HTML][HTML] A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art
Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
The use of SNOMED CT, 2013-2020: a literature review
Objective This article reviews recent literature on the use of SNOMED CT as an extension of
Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published …
Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published …
[图书][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
Ontology-based semantic similarity: A new feature-based approach
Estimation of the semantic likeness between words is of great importance in many
applications dealing with textual data such as natural language processing, knowledge …
applications dealing with textual data such as natural language processing, knowledge …
[HTML][HTML] Ontology-guided feature engineering for clinical text classification
VN Garla, C Brandt - Journal of biomedical informatics, 2012 - Elsevier
In this study we present novel feature engineering techniques that leverage the biomedical
domain knowledge encoded in the Unified Medical Language System (UMLS) to improve …
domain knowledge encoded in the Unified Medical Language System (UMLS) to improve …
BIOSSES: a semantic sentence similarity estimation system for the biomedical domain
Motivation The amount of information available in textual format is rapidly increasing in the
biomedical domain. Therefore, natural language processing (NLP) applications are …
biomedical domain. Therefore, natural language processing (NLP) applications are …
Enhancing data utility in differential privacy via microaggregation-based -anonymity
It is not uncommon in the data anonymization literature to oppose the “old” k k-anonymity
model to the “new” differential privacy model, which offers more robust privacy guarantees …
model to the “new” differential privacy model, which offers more robust privacy guarantees …
[HTML][HTML] A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain
Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …
Conflict of interest disclosure in biomedical research: a review of current practices, biases, and the role of public registries in improving transparency
Conflicts of interest held by researchers remain a focus of attention in clinical research.
Biases related to these relationships have the potential to directly impact the quality of …
Biases related to these relationships have the potential to directly impact the quality of …
Wikipedia-based information content and semantic similarity computation
Y Jiang, W Bai, X Zhang, J Hu - Information Processing & Management, 2017 - Elsevier
Abstract The Information Content (IC) of a concept is a fundamental dimension in
computational linguistics. It enables a better understanding of concept's semantics. In the …
computational linguistics. It enables a better understanding of concept's semantics. In the …