AIMC Topic: Language

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Thai Word Segmentation with a Brain-Inspired Sparse Distributed Representations Learning Memory.

Computational intelligence and neuroscience
Word segmentation is necessary for many natural language processing, especially Thai language, that is, unsegmented words. However, wrong segmentation causes terrible performance in the final result. In this study, we propose two new brain-inspired m...

Does the first letter of one's name affect life decisions? A natural language processing examination of nominative determinism.

Journal of personality and social psychology
This research examines whether the phenomenon of nominative determinism (a name-driven outcome) exists in the real world. Nominative determinism manifests as a preference for a profession or city to live in that begins with the same letter as a perso...

The promise and peril of using a large language model to obtain clinical information: ChatGPT performs strongly as a fertility counseling tool with limitations.

Fertility and sterility
OBJECTIVE: To compare the responses of the large language model-based "ChatGPT" to reputable sources when given fertility-related clinical prompts.

Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge.

Journal of biomedical informatics
In this work, we describe the findings of the 'WisPerMed' team from their participation in Track 1 (Contextualized Medication Event Extraction) of the n2c2 2022 challenge. We tackle two tasks: (i) medication extraction, which involves extracting all ...

KEBLM: Knowledge-Enhanced Biomedical Language Models.

Journal of biomedical informatics
Pretrained language models (PLMs) have demonstrated strong performance on many natural language processing (NLP) tasks. Despite their great success, these PLMs are typically pretrained only on unstructured free texts without leveraging existing struc...

Use of Large Language Models and Artificial Intelligence Tools in Works Submitted to .

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

On the fractal patterns of language structures.

PloS one
Natural Language Processing (NLP) makes use of Artificial Intelligence algorithms to extract meaningful information from unstructured texts, i.e., content that lacks metadata and cannot easily be indexed or mapped onto standard database fields. It ha...

Logical definition-based identification of potential missing concepts in SNOMED CT.

BMC medical informatics and decision making
BACKGROUND: Biomedical ontologies are representations of biomedical knowledge that provide terms with precisely defined meanings. They play a vital role in facilitating biomedical research in a cross-disciplinary manner. Quality issues of biomedical ...

Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation.

Journal of biomedical informatics
BACKGROUND: Identifying practice-ready evidence-based journal articles in medicine is a challenge due to the sheer volume of biomedical research publications. Newer approaches to support evidence discovery apply deep learning techniques to improve th...

FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT.

Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery
The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment...