AI Medical Compendium Topic:
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Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction.

Journal of biomedical informatics
BACKGROUND AND OBJECTIVES: Named Entity Recognition (NER) and Relation Extraction (RE) are two of the most studied tasks in biomedical Natural Language Processing (NLP). The detection of specific terms and entities and the relationships between them ...

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.

IEEE journal of biomedical and health informatics
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain. Most existing EHR-oriented stu...

NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning.

Mathematical biosciences and engineering : MBE
Non-classical secreted proteins (NCSPs) refer to a group of proteins that are located in the extracellular environment despite the absence of signal peptides and motifs. They usually play different roles in intercellular communication. Therefore, the...

Deep learning reveals what vocal bursts express in different cultures.

Nature human behaviour
Human social life is rich with sighs, chuckles, shrieks and other emotional vocalizations, called 'vocal bursts'. Nevertheless, the meaning of vocal bursts across cultures is only beginning to be understood. Here, we combined large-scale experimental...

Detecting Lombard Speech Using Deep Learning Approach.

Sensors (Basel, Switzerland)
Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the ...

Towards a simultaneously speaking bilingual robot: Primary study on the effect of gender and pitch of the robot's voice.

PloS one
With fast and reliable international transportation, more people with different language backgrounds can interact now. As a result, the need for communicative agents fluent in several languages to assist those people is highlighted. The high cost of ...

A System for Converting and Recovering Texts Managed as Structured Information.

Scientific reports
This paper introduces a system that incorporates several strategies based on scientific models of how the brain records and recovers memories. Methodologically, an incremental prototyping approach has been applied to develop a satisfactory architectu...

Querying semantic catalogues of biomedical databases.

Journal of biomedical informatics
BACKGROUND: Secondary use of health data is a valuable source of knowledge that boosts observational studies, leading to important discoveries in the medical and biomedical sciences. The fundamental guiding principle for performing a successful obser...

Visual Comparison of Language Model Adaptation.

IEEE transactions on visualization and computer graphics
Neural language models are widely used; however, their model parameters often need to be adapted to the specific domains and tasks of an application, which is time- and resource-consuming. Thus, adapters have recently been introduced as a lightweight...

Multi-Task Learning Model for Kazakh Query Understanding.

Sensors (Basel, Switzerland)
Query understanding (QU) plays a vital role in natural language processing, particularly in regard to question answering and dialogue systems. QU finds the named entity and query intent in users' questions. Traditional pipeline approaches manage the ...