Papers with TSMC
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach (2020.findings-emnlp)
Copied to clipboard
| Challenge: | Generating natural language under complex constraints is a principled formulation towards controllable text generation. |
| Approach: | They propose a method to specify combinatorial constraints for sentence generation . they use a tree search algorithm embedded into the proposal process of the Markov Chain Monte Carlo . |
| Outcome: | The proposed method achieves consistent and significant improvement on multiple language generation tasks. |