Language Model (LM)-based Natural Language Generation (NLG) Algorithm

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):
  • a Neural-based Natural Language Generation (NLG) Algorithm.
• 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.

---