Text Sequence Modeling Task

A Text Sequence Modeling Task is a Language Modeling Task that is based on Sequence Learning Task that outputs text sequences.

• Context:
  • Task Input: text item.
  • Task Output: text sequence.
  • Task Requirement(s): Text Sequence Modeling System.
• Example(s):
  • Word-Level Language Modeling Task,
  • ...
  • …
• Counter-Example(s):
  • Text Sequence Alignment Task,
  • Word Embedding Task,
  • Semantic Word Similarity Task,
• See: Language Model, Sequence Alignment Task, Natural Language Modeling Task, Natural Language Processing Task.

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References

2018

• (Chen et al., 2018) ⇒ Junkun Chen, Xipeng Qiu, Pengfei Liu, and Xuanjing Huang (2018, April). "Meta Multi-Task Learning for Sequence Modeling". In: Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).

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