AIMC Topic:
Semantics
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A Cross-Modal and Cross-lingual Study of Iconicity in Language: Insights From Deep Learning.
Cognitive science
Jun 1, 2022
The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of ty...
REDIRECT: Mapping Drug Prescriptions and Evidence from Biomedical Literature.
Studies in health technology and informatics
May 25, 2022
To enhance their practice, healthcare professionals need to cross-link various usage recommendations provided by heterogeneous vocabularies that must be retrieved and integrated conjointly. This is the aim of the Knowledge Warehouse / K-Ware platform...
Pattern-Based Logical Definitions of Prenatal Disorders Grounded on Dispositions.
Studies in health technology and informatics
May 25, 2022
Biomedical ontologies define concepts having biomedical significance and the semantic relations among them. Developing high-quality and reusable ontologies in the biomedical domain is a challenging task. Pattern-based ontology design is considered a ...
Evaluation of Domain-Specific Word Vectors for Biomedical Word Sense Disambiguation.
Studies in health technology and informatics
May 16, 2022
Among medical applications of natural language processing (NLP), word sense disambiguation (WSD) estimates alternative meanings from text around homonyms. Recently developed NLP methods include word vectors that combine easy computability with nuance...
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora.
Cognitive science
Feb 1, 2022
Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to...
EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information.
Briefings in bioinformatics
Jan 17, 2022
MOTIVATION: The rapid growth in literature accumulates diverse and yet comprehensive biomedical knowledge hidden to be mined such as drug interactions. However, it is difficult to extract the heterogeneous knowledge to retrieve or even discover the l...
An Evaluation of Pretrained BERT Models for Comparing Semantic Similarity Across Unstructured Clinical Trial Texts.
Studies in health technology and informatics
Jan 14, 2022
Processing unstructured clinical texts is often necessary to support certain tasks in biomedicine, such as matching patients to clinical trials. Among other methods, domain-specific language models have been built to utilize free-text information. Th...
PBDiff: Neural network based program-wide diffing method for binaries.
Mathematical biosciences and engineering : MBE
Jan 13, 2022
Program-wide binary code diffing is widely used in the binary analysis field, such as vulnerability detection. Mature tools, including BinDiff and TurboDiff, make program-wide diffing using rigorous comparison basis that varies across versions, optim...
[What worries people with multiple sclerosis in Russia? Semantic analysis of patient messages using artificial intelligence tools].
Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova
Jan 1, 2022
OBJECTIVE: To study the needs of patients suffering from multiple sclerosis (MS) in Russia.
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.
Journal of X-ray science and technology
Jan 1, 2022
BACKGROUND: Although detection of COVID-19 from chest X-ray radiography (CXR) images is faster than PCR sputum testing, the accuracy of detecting COVID-19 from CXR images is lacking in the existing deep learning models.
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