The success of artificial intelligence (AI), and deep learning models in particular, has led to
their widespread adoption across various industries due to their ability to process huge …

The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Predicting a patient's future health condition by analyzing their Electronic Health Records
(EHRs) is a trending subject in the intelligent medical field, which can help clinicians …

The success of state-of-the-art Natural Language Processing (NLP) systems heavily
depends on deep neural networks, which excel in various tasks through strong data fitting …

Universal Information Extraction (UIE) has been introduced as a unified framework for
various Information Extraction (IE) tasks and has achieved widespread success. Despite …

Extracting adverse drug events (ADEs) is one of the most challenging tasks in biomedical
field. However, the existing studies fail to fully utilize the syntactic information and capture …

In the era of deep learning, the natural language processing (NLP) community has become
increasingly reliant on large language models (LLM), which are essentially probabilistic …

Cancer is a complex disease driven by genetic mutations and alterations. The vast amount
of cancer-related data available in the public domain offers a valuable resource for …

About half a century ago, artificial intelligence (AI) pioneers like Marvin Minsky embarked on
the ambitious project of emulating how the human mind encodes and decodes meaning …