Snowball 2.0: Generic Material Data Parser for ChemDataExtractor.The ever-growing amount of chemical data found in the scientific literature has led to the emergence of data-driven materials discovery.  Here, we present Snowball 2.0, a sentence parser based on a semisupervised machine-learning algorithm.  Snowball 2.0 builds on two previously developed Snowball algorithms.  Evaluation of Snowball 2.0 shows a 15-20% increase in recall with marginally reduced precision over the previous version which has been incorporated into ChemDataExtractor 2.0, giving Snowball 2.0 better performance in most configurations.  Snowball 2.0 offers more and better parsing options for ChemDataExtractor, and it is more capable in the pipeline of automated data extraction.  Snowball 2.0 also features better generalizability, performance, learning efficiencies, and user-friendliness.
Snowball
Snowball 2.0: Generic Material Data Parser for ChemDataExtractor.The ever-growing amount of chemical data found in the scientific literature has led to the emergence of data-driven materials discovery.  The first step in the pipeline, to automatically extract chemical information from plain text, has been driven by the development of software toolkits such as ChemDataExtractor.  Evaluation of Snowball 2.0 shows a 15-20% increase in recall with marginally reduced precision over the previous version which has been incorporated into ChemDataExtractor 2.0, giving Snowball 2.0 better performance in most configurations.  Snowball 2.0 offers more and better parsing options for ChemDataExtractor, and it is more capable in the pipeline of automated data extraction. 
ChemDataExtractor
Snowball 2.0: Generic Material Data Parser for ChemDataExtractor.The ever-growing amount of chemical data found in the scientific literature has led to the emergence of data-driven materials discovery.  Here, we present Snowball 2.0, a sentence parser based on a semisupervised machine-learning algorithm.  Snowball 2.0 builds on two previously developed Snowball algorithms.  Evaluation of Snowball 2.0 shows a 15-20% increase in recall with marginally reduced precision over the previous version which has been incorporated into ChemDataExtractor 2.0, giving Snowball 2.0 better performance in most configurations.  Snowball 2.0 offers more and better parsing options for ChemDataExtractor, and it is more capable in the pipeline of automated data extraction.  Snowball 2.0 also features better generalizability, performance, learning efficiencies, and user-friendliness.
Snowball 2.0