Named Entity Mention Grounding Task

Context:
- It can be solved by a Named Entity Mention Grounding System (that implements a Named Entity Mention Grounding Algorithm.
Example(s):
- a Gene Mention Normalization Task.
- an Author Mention Coreference Resolution Task that refers to an Author Database.
- …
Counter-Example(s):
- a Relation Mention Recognition Task.
- a Coreference Resolution Task.
See: Referencer Grounding Task, Entity Reference Resolution Task.

References

(Han & Zhao, 2009) ⇒ Xianpei Han, and Jun Zhao. (2009). “Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge.” In: Proceedings of the Eighteenth Conference on Information and Knowledge Management (CIKM 2009) doi:10.1145/1645953.1645983

(Witte et al., 2007) ⇒ René Witte, Thomas Kappler, and Christopher J. O. Baker. (2007). “Ontology Design for Biomedical Text Mining." Book Chapter in: Semantic Web". doi:10.1007/978-0-387-48438-9
- QUOTE: As a final step in NE detection, many entities need to be grounded with respect to an external resource, like a database. This is especially important for most biological entities, which have corresponding entries in various databases, e.g., Swiss-Prot for proteins. When further information is needed for downstream analysis tasks, like the automatic processing of amino acid sequences, grounding the textual entity to a unique database entry (e.g., assigning a Swiss-Prot ID to a protein entity) is a mandatory prerequisite. Thus, even if an entity is correctly detected from an NLP perspective, it might still be ambiguous with respect to such an external resource (or not exist at all), which makes it useless for further automated processing until the entity has been grounded.