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AI-based language models powering drug discovery and development
The discovery and development of new medicines is expensive, time-consuming, and often
inefficient, with many failures along the way. Powered by artificial intelligence (AI), language …
inefficient, with many failures along the way. Powered by artificial intelligence (AI), language …
Emerging trends: A gentle introduction to fine-tuning
The previous Emerging Trends article (Church et al., 2021. Natural Language
Engineering27 (5), 631–645.) introduced deep nets to poets. Poets is an imperfect …
Engineering27 (5), 631–645.) introduced deep nets to poets. Poets is an imperfect …
PubTator central: automated concept annotation for biomedical full text articles
Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
Abstract PubTator 3.0 (https://www. ncbi. nlm. nih. gov/research/pubtator3/) is a biomedical
literature resource using state-of-the-art AI techniques to offer semantic and relation …
literature resource using state-of-the-art AI techniques to offer semantic and relation …
TaggerOne: joint named entity recognition and normalization with semi-Markov Models
Motivation: Text mining is increasingly used to manage the accelerating pace of the
biomedical literature. Many text mining applications depend on accurate named entity …
biomedical literature. Many text mining applications depend on accurate named entity …
DNorm: disease name normalization with pairwise learning to rank
Motivation: Despite the central role of diseases in biomedical research, there have been
much fewer attempts to automatically determine which diseases are mentioned in a text …
much fewer attempts to automatically determine which diseases are mentioned in a text …
Biomedical entity representations with synonym marginalization
Bert-based ranking for biomedical entity normalization
Develo** high-performance entity normalization algorithms that can alleviate the term
variation problem is of great interest to the biomedical community. Although deep learning …
variation problem is of great interest to the biomedical community. Although deep learning …
tmChem: a high performance approach for chemical named entity recognition and normalization
Chemical compounds and drugs are an important class of entities in biomedical research
with great potential in a wide range of applications, including clinical medicine. Locating …
with great potential in a wide range of applications, including clinical medicine. Locating …