[HTML][HTML] A survey of word embeddings for clinical text
Representing words as numerical vectors based on the contexts in which they appear has
become the de facto method of analyzing text with machine learning. In this paper, we …
become the de facto method of analyzing text with machine learning. In this paper, we …
[HTML][HTML] SECNLP: A survey of embeddings in clinical natural language processing
KS Kalyan, S Sangeetha - Journal of biomedical informatics, 2020 - Elsevier
Distributed vector representations or embeddings map variable length text to dense fixed
length vectors as well as capture prior knowledge which can transferred to downstream …
length vectors as well as capture prior knowledge which can transferred to downstream …
[HTML][HTML] A comparison of word embeddings for the biomedical natural language processing
Background Word embeddings have been prevalently used in biomedical Natural
Language Processing (NLP) applications due to the ability of the vector representations …
Language Processing (NLP) applications due to the ability of the vector representations …
[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 …
A semantic similarity metric combining features and intrinsic information content
G Pirró - Data & Knowledge Engineering, 2009 - Elsevier
In many research fields such as Psychology, Linguistics, Cognitive Science and Artificial
Intelligence, computing semantic similarity between words is an important issue. In this …
Intelligence, computing semantic similarity between words is an important issue. In this …
A feature and information theoretic framework for semantic similarity and relatedness
Semantic similarity and relatedness measures between ontology concepts are useful in
many research areas. While similarity only considers subsumption relations to assess how …
many research areas. While similarity only considers subsumption relations to assess how …
[HTML][HTML] Semantic similarity estimation in the biomedical domain: An ontology-based information-theoretic perspective
Semantic similarity estimation is an important component of analysing natural language
resources like clinical records. Proper understanding of concept semantics allows for …
resources like clinical records. Proper understanding of concept semantics allows for …
Semantic measures for the comparison of units of language, concepts or instances from text and knowledge base analysis
Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …
relationship between elements of various types: units of language (eg, words, sentences …
A cluster-based approach for semantic similarity in the biomedical domain
H Al-Mubaid, HA Nguyen - … of the IEEE engineering in medicine …, 2006 - ieeexplore.ieee.org
We propose a new cluster-based semantic similarity/distance measure for the biomedical
domain within the framework of UMLS. The proposed measure is based mainly on the cross …
domain within the framework of UMLS. The proposed measure is based mainly on the cross …
Ontology-based approach for measuring semantic similarity
The challenge of measuring semantic similarity between words is to find a method that can
simulate the thinking process of human. The use of computers to quantify and compare …
simulate the thinking process of human. The use of computers to quantify and compare …