Language Model (LM)-based Natural Language Generation (NLG) Algorithm
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A Language Model (LM)-based Natural Language Generation (NLG) Algorithm is a NLG algorithm that is a Language Model-based NLP Algorithm.
- Context:
- It can be implemented by an LM-based NLG System.
- Example(s):
- Maximum Entropy LM-based Character-level NLG Algorithm, such as the one described in: (Goldberg, 2015).
- Neural LM-based Character-level NLG Algorithm, such as the one described in: (Karpathy, 2015).
- …
- Counter-Example(s):
- See: LM-based Text Error Correction.
References
2015
- (Goldberg, 2015) ⇒ Yoav Goldberg. (2015). “The Unreasonable Effectiveness of Character-level Language Models (and Why RNNs Are Still Cool).” In: Blog Post.