A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach

摘要

Motivation: The fundamental challenge of modern genetic analysis is to establish gene-phenotype correlations that are often found in the large-scale publications. Because lexical features of gene are relatively regular in text, the main challenge of these relation extraction is phenotype recognition. Due to phenotypic descriptions are often study-or author-specific, few lexicon can be used to effectively identify the entire phenotypic expressions in text, especially for plants.