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Found 4 papers, 0 papers with code
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
For the past seven years, the Social Media Mining for Health Applications (#SMM4H) shared tasks have promoted the community-driven development and evaluation of advanced natural language processing systems to detect, extract, and normalize health-related information in public, user-generated content.
Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
The BioCreative VII Track 3 challenge focused on the identification of medication names in Twitter user timelines.
One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text
We explored a new approach to named entity recognition based on hundreds of machine learning models, each trained to distinguish a single entity, and showed its application to gene name identification (GNI).
Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types
The evaluation of different feature models shows that their inclusion has an impact equivalent to that of other important features such as email address.
