AIMC Topic: Language

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Large Language Models and the Reverse Turing Test.

Neural computation
Large language models (LLMs) have been transformative. They are pretrained foundational models that are self-supervised and can be adapted with fine-tuning to a wide range of natural language tasks, each of which previously would have required a sepa...

Deep learning assessment of syllable affiliation of intervocalic consonants.

The Journal of the Acoustical Society of America
In English, a sentence like "He made out our intentions." could be misperceived as "He may doubt our intentions." because the coda /d/ sounds like it has become the onset of the next syllable. The nature and occurrence condition of this resyllabifica...

Extraction of microRNA-target interaction sentences from biomedical literature by deep learning approach.

Briefings in bioinformatics
MicroRNA (miRNA)-target interaction (MTI) plays a substantial role in various cell activities, molecular regulations and physiological processes. Published biomedical literature is the carrier of high-confidence MTI knowledge. However, digging out th...

FROM TEXT TO DIAGNOSE: CHATGPT'S EFFICACY IN MEDICAL DECISION-MAKING.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
OBJECTIVE: The aim: Evaluate the diagnostic capabilities of the ChatGPT in the field of medical diagnosis.

CTS2 OWL: Mapping OWL Ontologies to CTS2 Terminology Resources.

Studies in health technology and informatics
The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meanin...

No means 'No': a non-improper modeling approach, with embedded speculative context.

Bioinformatics (Oxford, England)
MOTIVATION: The medical data are complex in nature as terms that appear in records usually appear in different contexts. Through this article, we investigate various bio model's embeddings (BioBERT, BioELECTRA and PubMedBERT) on their understanding o...

A survey of automated methods for biomedical text simplification.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have been explored for the automati...

Practical Implementation and Challenges of Artificial Intelligence-Driven Electronic Health Record Evaluation: Protected Health Information.

Advances in chronic kidney disease
Detecting protected health information in electronic health record systems is often an early step in health care analytics, and it is a nontrivial problem. Specific challenges include finding clinician names and diseases, which lack a fixed format an...

GRASCCO - The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus.

Studies in health technology and informatics
We describe the creation of GRASCCO, a novel German-language corpus composed of some 60 clinical documents with more than.43,000 tokens. GRASCCO is a synthetic corpus resulting from a series of alienation steps to obfuscate privacy-sensitive informat...

Homologues not needed: Structure prediction from a protein language model.

Structure (London, England : 1993)
Accurate protein structure predictors use clusters of homologues, which disregard sequence specific effects. In this issue of Structure, Weißenow and colleagues report a deep learning-based tool, EMBER2, that efficiently predicts the distances in a p...