Organism Component Semantic Relation Recognition Task

An Organism Component Semantic Relation Recognition Task is a Domain Specific Semantic Relation Recognition Task that is restricted to the Recognition of an Organism Component Mentions in one or more Documents.

• AKA: Organism Component, Organism Component Relation.
• See: Organism NER.

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References

2008

• (Wang & Grover, 2008) ⇒ Xinglong Wang, and Claire Grover. (2008) Learning the Species of Biomedical Named Entities from Annotated Corpora.” In: Proceedings of LREC-2008.
  • NOTES: It performs Organism NER, and Organism Normalization in order to improve the Organism Component Relation.

2007

• (Wang, 2007) ⇒ Xinglong Wang. (2007). “Rule-based Protein Term Identification with Help from Automatic Species Tagging.” In: Proceedings of CICLING 2007.
  • QUOTE: We call the task of grounding a biological term in text to a specific identifier in a referent database as Term Identification (TI) [1]. TI is crucial for the automated processing of the biomedical literature [2,3]. For example, a system that extracts protein-protein interactions would ideally collapse interactions involving the same proteins, which might appear in different word forms in articles. This paper describes our system for identification of protein entities. (Our experiments focus on protein entities, but our techniques should be applicable to other biological entities such as genes or mrnas.)

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