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Evaluation of evolocumab on saphenous vein graft patency following coronary artery bypass graft surgery in people living with and without diabetes in the NEWTON‐CABG CardioLink‐5 trial

Diabetes, Obesity and Metabolism, EarlyView.
Hwee Teoh, Subodh Verma, G. B. John Mancini, Adrian Quan, Michael Szarek, Randi Elituv, Meena Verma, Elizabeth Misner, Aishwarya Krishnaraj, Peter Jüni, Michael J. Koren, Stephen J. Nicholls, Deepak L. Bhatt, C. David Mazer, Lawrence A. Leiter   +14 more
wiley   +1 more source

JeuxDeLiens: Word Embeddings and Path-Based Similarity for Entity Linking using the French JeuxDeMots Lexical Semantic Network

, 2018
Julien Plu, Kévin Cousot, Mathieu Lafourcade, Raphaël Troncy, Giuseppe Rizzo   +4 more
openalex   +1 more source

Facilitating adults initial L2 syntax acquisition: the role of cross-linguistic syntactic similarity and lexical processing

Sanahuja Cobacho, Noelia
openalex   +1 more source

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Lexical similarity using fuzzy Euclidean distance

2014 International Conference on Engineering and Technology (ICET), 2014
Knowledge exaction and text representation are considered as the main concepts concerning organizations nowadays. The estimation of the semantic similarity between words provides a valuable method to enable the understanding of texts. In the field of biomedical domains, using Ontologies have been very effective due to their scalability and efficiency ...
Heba Ayeldeen, A. Hassanien, A. Fahmy
semanticscholar   +2 more sources

Utilizing Lexical Similarity by Using Subword Translation Units

Machine Translation and Transliteration Involving Related and Low-resource Languages, 2021
Anoop Kunchukuttan, P. Bhattacharyya
semanticscholar   +2 more sources

Lexical Similarity vs Lexical Dissimilarity in Consecutive Interpreting

The Translator, 1998
H. Dam
semanticscholar   +5 more sources

word2set: WordNet-Based Word Representation Rivaling Neural Word Embedding for Lexical Similarity and Sentiment Analysis

IEEE Computational Intelligence Magazine, 2019
Measuring lexical similarity using WordNet has a long tradition. In the last decade, it has been challenged by distributional methods, and more recently by neural word embedding.
Sergio Jiménez, F. González, Alexander Gelbukh, George Dueñas   +3 more
semanticscholar   +1 more source

Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity

Conference on Machine Translation, 2020
Recent work has shown that a multilingual neural machine translation (NMT) model can be used to judge how well a sentence paraphrases another sentence in the same language (Thompson and Post, 2020); however, attempting to generate paraphrases from such a
Brian Thompson, Matt Post
semanticscholar   +1 more source

Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2019
This paper presents the first results of a multidisciplinary project, the “Evolex” project, gathering researchers in Psycholinguistics, Neuropsychology, Computer Science, Natural Language Processing and Linguistics. The Evolex project aims at proposing a
Bruno Gaume, L. Ho-Dac, Ludovic Tanguy, C. Fabre, Bénédicte Pierrejean, Nabil Hathout, Jérôme Farinas, J. Pinquier, Lola Danet, P. Péran, X. D. Boissezon, M. Jucla   +11 more
semanticscholar   +1 more source