Knowledge graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …
recently garnered significant attention from both industry and academia in scenarios that …
[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
[HTML][HTML] Natural language processing of clinical notes on chronic diseases: systematic review
Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …
are required in the domain of chronic diseases, given the growing incidence of such …
[PDF][PDF] Lexicalized Dependency Paths Based Supervised Learning for Relation Extraction.
H Sun, R Grishman - Computer Systems Science & Engineering, 2022 - cdn.techscience.cn
Log-linear models and more recently neural network models used for supervised relation
extraction requires substantial amounts of training data and time, limiting the portability to …
extraction requires substantial amounts of training data and time, limiting the portability to …
Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
An analytical study of information extraction from unstructured and multidimensional big data
Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …
De-identification of patient notes with recurrent neural networks
Objective: Patient notes in electronic health records (EHRs) may contain critical information
for medical investigations. However, the vast majority of medical investigators can only …
for medical investigations. However, the vast majority of medical investigators can only …
Formnet: Structural encoding beyond sequential modeling in form document information extraction
Sequence modeling has demonstrated state-of-the-art performance on natural language
and document understanding tasks. However, it is challenging to correctly serialize tokens in …
and document understanding tasks. However, it is challenging to correctly serialize tokens in …
Having beer after prayer? measuring cultural bias in large language models
As the reach of large language models (LMs) expands globally, their ability to cater to
diverse cultural contexts becomes crucial. Despite advancements in multilingual …
diverse cultural contexts becomes crucial. Despite advancements in multilingual …
Graph convolution for multimodal information extraction from visually rich documents
Visually rich documents (VRDs) are ubiquitous in daily business and life. Examples are
purchase receipts, insurance policy documents, custom declaration forms and so on. In …
purchase receipts, insurance policy documents, custom declaration forms and so on. In …