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Found 9 papers, 4 papers with code
JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation
In this paper, we first propose a novel relation annotation schema for investigating the medical and temporal relations between medical entities in Japanese medical reports.
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.
JaMIE: A Pipeline Japanese Medical Information Extraction System
We present an open-access natural language processing toolkit for Japanese medical information extraction.
End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining.
KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models
One problem is that previous studies have assessed the risk for different real-world privacy leakage scenarios and attack methods, which reduces the portability of the findings.
Offensive Language Detection on Video Live Streaming Chat
To make use of the similarity in offensive expressions among different social media platforms, we adopted state-of-the-art models trained on offensive expressions from Twitter for our Twitch data (i. e., transfer learning).
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases
Applying natural language processing (NLP) to medical and clinical texts can bring important social benefits by mining valuable information from unstructured text.
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Second, we extracted the location of the WSSCI via the smartphone application.
NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
This has affected the social life of people owing to enforcements, such as "social distancing" and "stay at home."
