Named Entity Mining (NEM) Task

A Named Entity Mining (NEM) Task is a text mining task that retrieves information on a named entity.

• Example(s):
  • …
• Counter-Example(s):
  • Named Entity Disambiguation (NED) Task.
• See: Natural Language Generation Task, Natural Language Understanding Task, Natural Language Processing Task, Machine Translation Task.

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References

2009

• (Xu et al., 2009) ⇒ G. Xu, Shuang-Hong Yang, Hang Li (2009, June). "Named Entity Mining from Click-through Data Using Weakly Supervised Latent Dirichlet Allocation". In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge discovery and data mining (pp. 1365-1374).
  • QUOTE: Named Entity Mining (NEM) is a text mining task in which the information on the named entities of a class is mined from a large amount of data. The classes can be, for example, movie, game, book and music, and the task can be to mine all the titles of movies in a textual data collection.

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