Out-Of-Vocabulary (OOV) Word Detection Task

A Out-Of-Vocabulary (OOV) Word Detection Task is a OOV Word Detection System that implements a OOV Word Detection Algorithm.

• AKA: OOV Recognition Task, OOV Discovery Task.
• Context:
  • Task Input: Text Data, Text Document.
  • Task Output: OOV Words.
  • Task Requirement(s):
    • a Language Model,
    • a OOV Word Model,
    • a OOV Embedding System (optional).
• Example(s):
  • Maximum Entropy OOV Detection Task,
  • …
• Counter-Example(s):
  • IV Word Detection Task,
  • Character Detection Task,
  • Subword Detection Task,
  • Phrase Detection Task.
• See: OOV Word Detection Benchmark Task, Word Embedding Task, Text Generation Task, Text Translation Task, Natural Language Processing Task.

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References

2010

• (Parada et al., 2010) ⇒ Carolina Parada, Mark Dredze, Denis Filimonov, and Frederick Jelinek. (2010). “Contextual Information Improves OOV Detection in Speech.” In: Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL 2010).

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