Entity Mention Normalization System

An Entity Mention Normalization System is a Normalization System that can solve an Entity Mention Normalization Task.

• AKA: Entity Mention Normalizer, Entity Mention Disambiguation System, Entity Disambiguation System.
  • …
• Example(s):
  • Reflect System.
  • SemTag System, ~2003.
  • …
• Counter-Example(s):
  • a Named Entity Recognition System.
  • a Part-of-Speech Taggin System.
• See: Word Sense Disambiguation System.

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References

2009

• (Kulkarni et al., 2009) ⇒ Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti. (2009). “Collective Annotation of Wikipedia Entities in Web Text.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557073.
  • QUOTE: The first Web-scale entity disambiguation system was SemTag [5]. SemTag annotated about 250 million Web pages with IDs from the Stanford TAP entity catalog [8]. The basic technique was to compare the surrounding context of a spot s with text metadata associated with candidate entity γ in TAP. SemTag preferred high precision over recall, proposing only about 450 million annotations, i.e., fewer than two annotations per page on average.

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