Entity Mention Recognition Task

An Entity Mention Recognition Task is a concept mention recognition task that is restricted to (identify and classify) entity mentions.

• Context:
  • Input: Text Item.
  • output: Mention Annotated Text Item.
  • It can range from being a Named Entity Recognition Task (of named entity names) to being an Concept Mention Recognition Task.
  • It can range from being a Heuristic Entity Mention Recognition Task to being a Data-Driven Entity Mention Recognition Task.
  • It can be supported by an Entity Mention Segmentation Task.
  • It can be supported by an Entity Mention Classification Task.
  • It can be supported by an Entity Mention Coreference Resolution Task.
  • It can be solved by an Entity Mention Recognition System (that implements an entity mention recognition algorithm).
• Example(s):
  • a Named Entity Recognition Task, if the task is limited to named entity mentions, not Nominal Mentions nor Pronomial Mentions.
  • a Product Mention Recognition Task.
  • a Person Mention Recognition Task.
  • a Protein Mention Recognition Task.
  • …
• Counter-Example(s):
  • a Coreference Resolution Task, such as: f(“JR walked home. He arrived at noon.”) ⇒ "[PERSON1|JR] walked home. [PERSON1|He] arrived at noon.".
  • an Entity Mention Normalization Task, such as: EMNT("[PERSON|Michael Jackson] is my favorite pop star") ⇒ "[PERSON_1734289|Michael Jackson] is my favorite pop star.".
  • a Relation Mention Recognition Task.
  • a Visual Entity Recognition Task.
• See: Common Noun, Noun Phrase.

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References

2014

• http://web-ngram.research.microsoft.com/ERD2014/
  • We are excited to announce the 2014_Entity Recognition and Disambiguation (ERD) Challenge! … The objective of an Entity Recognition and Disambiguation (ERD) system is to recognize mentions of entities in a given text, disambiguate them, and map them to the entities in a given entity collection or knowledge base. …

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