AIMC Topic: Language

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Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks.

Neural computation
Neural computations can be framed as dynamical processes, whereby the structure of the dynamics within a neural network is a direct reflection of the computations that the network performs. A key step in generating mechanistic interpretations within ...

Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks.

Neural computation
Often in language and other areas of cognition, whether two components of an object are identical or not determines if it is well formed. We call such constraints identity effects. When developing a system to learn well-formedness from examples, it i...

Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.

Studies in health technology and informatics
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction ...

Explaining Contextualized Word Embeddings in Biomedical Research - A Qualitative Investigation.

Studies in health technology and informatics
Contextualized word embeddings proved to be highly successful quantitative representations of words that allow to efficiently solve various tasks such as clinical entity normalization in unstructured texts. In this paper, we investigate how the Sauss...

CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain.

Bioinformatics (Oxford, England)
MOTIVATION: The field of natural language processing (NLP) has recently seen a large change toward using pre-trained language models for solving almost any task. Despite showing great improvements in benchmark datasets for various tasks, these models...

Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology.

Studies in health technology and informatics
BACKGROUND: CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.

Review of the Performance Metrics for Natural Language Systems for Clinical Trials Matching.

Studies in health technology and informatics
Natural Language Processing (NLP) has been adopted widely in clinical trial matching for its ability to process unstructured text that is often found in electronic health records. Despite the rise in the new tools that use NLP to match patients to el...

Clinical Comparable Corpus Describing the Same Subjects with Different Expressions.

Studies in health technology and informatics
Medical artificial intelligence (AI) systems need to learn to recognize synonyms or paraphrases describing the same anatomy, disease, treatment, etc. to better understand real-world clinical documents. Existing linguistic resources focus on variants ...

Comparison of MetaMap, cTAKES, SIFR, and ECMT to Annotate Breast Cancer Patient Summaries.

Studies in health technology and informatics
Most clinical texts including breast cancer patient summaries (BCPSs) are elaborated as narrative documents difficult to process by decision support systems. Annotators have been developed to extract the relevant content of such documents, e.g., Meta...

Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information.

Studies in health technology and informatics
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encou...