Unleashing the power of knowledge extraction from scientific literature in catalysis
Valuable knowledge of catalysis is often hidden in a large amount of scientific literature.
There is an urgent need to extract useful knowledge to facilitate scientific discovery. This …
There is an urgent need to extract useful knowledge to facilitate scientific discovery. This …
Cascade processes with micellar reaction media: recent advances and future directions
Reducing the use of solvents is an important aim of green chemistry. Using micelles self-
assembled from amphiphilic molecules dispersed in water (considered a green solvent) has …
assembled from amphiphilic molecules dispersed in water (considered a green solvent) has …
A survey on event extraction for natural language understanding: Riding the biomedical literature wave
Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
Predictive chemistry augmented with text retrieval
This paper focuses on using natural language descriptions to enhance predictive models in
the chemistry field. Conventionally, chemoinformatics models are trained with extensive …
the chemistry field. Conventionally, chemoinformatics models are trained with extensive …
EnzChemRED, a rich enzyme chemistry relation extraction dataset
Expert curation is essential to capture knowledge of enzyme functions from the scientific
literature in FAIR open knowledgebases but cannot keep pace with the rate of new …
literature in FAIR open knowledgebases but cannot keep pace with the rate of new …
Holistic approach for artificial intelligence implementation in pharmaceutical products lifecycle: a meta-analysis
Recent developments in Digital Medicine approaches concern pharmaceutical product
optimization. Artificial Intelligence (AI) has multiple applications for pharmaceutical products' …
optimization. Artificial Intelligence (AI) has multiple applications for pharmaceutical products' …
Mining patents with large language models demonstrates congruence of functional labels and chemical structures
Predicting chemical function from structure is a major goal of the chemical sciences, from the
discovery and repurposing of novel drugs to the creation of new materials. Recently, new …
discovery and repurposing of novel drugs to the creation of new materials. Recently, new …
Mining patents with large language models elucidates the chemical function landscape
The fundamental goal of small molecule discovery is to generate chemicals with target
functionality. While this often proceeds through structure-based methods, we set out to …
functionality. While this often proceeds through structure-based methods, we set out to …
Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII
Abstract The BioCreative National Library of Medicine (NLM)-Chem track calls for a
community effort to fine-tune automated recognition of chemical names in the biomedical …
community effort to fine-tune automated recognition of chemical names in the biomedical …
Ensemble of deep masked language models for effective named entity recognition in health and life science corpora
The health and life science domains are well known for their wealth of named entities found
in large free text corpora, such as scientific literature and electronic health records. To …
in large free text corpora, such as scientific literature and electronic health records. To …