Figure 2
From: What the papers say: Text mining for genomics and systems biology
An example of a text-mining pipeline. Given a sentence from a paper (A), named entities (NEs) are extracted (green for species entities, red for protein/gene entities, blue for relationship cues) (B); these entities are then normalised to a corresponding identifier scheme (C); and relationships between entities extracted (D). The final result in this case is a network which explicitly encodes the semantic relationships between NEs found in the sentence. Text taken from PMID:14613582.