Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
Huichen YangAlice LamThomas Yong-Jin HanDavid ButtlerWilliam H. HsuCarlos A. AguirreMaria F. De La TorreDerek ChristensenLuis BobadillaEmily DavichJordan RothLei LuoYihong TheisPublished in: OST@ICDAR (2019)
Keyphrases
- scientific literature
- data science
- machine learning
- information extraction
- text mining
- big data
- text processing
- statistical learning
- unstructured text
- natural language processing
- data analysis
- scientific articles
- biomedical literature
- knowledge discovery
- information retrieval
- scientific papers
- text classification
- named entities
- digital libraries
- active learning
- social media
- cloud computing
- data processing
- machine learning methods
- learning algorithm
- data mining
- text documents
- model selection
- data management
- structured data
- network analysis
- high precision
- microarray
- supervised learning
- natural language