Results 51 to 60 of about 341,298 (275)

Semantic similarity prediction is better than other semantic similarity measures

, 2023
Accepted at TMLR: https://openreview.net/forum?id ...
openaire   +2 more sources

Finding disease similarity based on implicit semantic similarity

Journal of Biomedical Informatics, 2012
Genomics has contributed to a growing collection of gene-function and gene-disease annotations that can be exploited by informatics to study similarity between diseases. This can yield insight into disease etiology, reveal common pathophysiology and/or suggest treatment that can be appropriated from one disease to another. Estimating disease similarity
Mathur, Sachin, Dinakarpandian, Deendayal   +1 more
openaire   +2 more sources

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

The logic and linguistic model for automatic extraction of collocation similarity [PDF]

, 2015
The article discusses the process of automatic identification of collocation similarity. The semantic analysis is one of the most advanced as well as the most difficult NLP task.
Gautam, Ajit Pratap Singh, Khairova, N. F., Petrasova, S. V.   +2 more
core  

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Semantic Categories: Uncertainty and Similarity

Mathematical and Computational Applications
This paper addresses understanding and categorizing language by using Markov categories to establish a mathematical framework for semantic concepts. This framework enables us to measure the semantic similarity between linguistic expressions within a ...
Ares Fabregat-Hernández, Javier Palanca, Vicent Botti   +2 more
doaj   +1 more source

Measuring Semantic Similarity by Latent Relational Analysis [PDF]

, 2005
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words.
Turney, Peter D.
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity

, 2017
Semantic similarity measures are an important part in Natural Language Processing tasks. However Semantic similarity measures built for general use do not perform well within specific domains.
Ayesha, Buddhi, de Silva, Nisansa, Jayawardana, Vindula, Lakmal, Dimuthu, Perera, Amal Shehan, Perera, Madhavi, Sugathadasa, Keet   +6 more
core   +1 more source

Evaluation of Semantic Answer Similarity Metrics

Machine Learning & Applications, 2022
There are several issues with the existing general machine translation or natural language generation evaluation metrics, and question-answering (QA) systems are indifferent in that context. To build robust QA systems, we need the ability to have equivalently robust evaluation systems to verify whether model predictions to questions are similar to ...
Mustafazade, Farida, Ebbinghaus, Peter F.   +1 more
openaire   +2 more sources