Mar 6, 2020 · This paper aims to compare different techniques used for finding semantic similarity by performing empirical analysis. We have implemented ...
Mar 2, 2020 · This paper aims to compare different techniques used for finding semantic similarity by performing empirical analysis. We have implemented ...
This study is designed to have a comprehensive comparative analysis among three different techniques (string based, pre-trained word embedding and similarity ...
Feb 5, 2022 · Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, ...
Missing: Comparative Techniques
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Nov 23, 2020 · This study demonstrated the efficiency of utilizing transformer-based models to measure semantic similarity for clinical text.
Aug 9, 2021 · In this work, we develop a reproducible platform for benchmarking experimental conditions for patient phentoype similarity. Using the platform, ...
Based on the evaluation results, we can draw the following conclusions. First, the word embeddings trained on EHR and MedLit can capture the semantics of ...
Three different methods that not only focus on the text's words but also incorporates semantic information of texts in their feature vector and computes ...
Nov 23, 2020 · Semantic textual similarity (STS) is a natural language processing (NLP) task to quantitatively assess the semantic similarity between two text ...
Missing: Comparative | Show results with:Comparative
Jun 17, 2024 · Semantic Textual Similarity (STS) analysis predicts the relationship between pairs of short texts. It is considered the most essential technique ...
Missing: Comparative | Show results with:Comparative