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Diving for Treasure in a Sea of Scientific Literature:Extracting Scientific Information from Free Text Articles
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
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TimeWednesday, 18 November 20208:30am - 5pm EST
LocationPoster Module
DescriptionIt has become impossible for researchers to keep up with the more than 2.5 million publications published every year. We explore scalable approaches for automatically extracting relations from scientific papers (e.g., melting point of a polymer). We implement a dependency parser-based relation extraction model to understand relationships without the need for a Named Entity tagger, and integrate several word embeddings models and custom tokenization to boost learning performance for scientific text. We then evaluated the models based on run-time, hyperparameter tuning, and scalability.
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